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Mohammad Ashif
Verified Expert in Engineering
Software Engineer and Full-stack Developer
Tallahassee, FL, United States
Toptal member since August 28, 2025
Bio
Mohammad is a professional developer with extensive hands-on experience in web development and significant expertise in React and Node.js projects. Skilled in building web applications from scratch using Agile methodology, he has strong knowledge of Node.js and database management with MongoDB. Passionate about problem-solving, Mohammad enjoys automating repetitive tasks to tackle mathematical, logical, and real-world challenges.
Portfolio
BigCommerce
Amazon S3 (AWS S3), AWS Lambda, Amazon S3 Cross-Region Replication (CRR)...
Dell
React, Redux, Web Components, Webpack, jQuery, Jest, Chrome DevTools...
Amantya Technologies
React, TypeScript, Python 3, MongoDB, SQL, Django, Agile, Jira, Scrum...
Experience
- Web Development - 6 years
- Next.js - 5 years
- React - 5 years
- JavaScript - 5 years
- Tailwind CSS - 5 years
- Python 3 - 5 years
- Node.js - 4 years
- Amazon Web Services (AWS) - 4 years
Work Experience
AWS Integration Intern
2024 - 2024
BigCommerce
- Developed and managed APIs using Amazon API Gateway, Step Functions, Lambda, and S3, with Route 53 for DNS management and CloudWatch with Python for monitoring, creating an infrastructure that seamlessly supported object creation in Salesforce.
- Developed a Python ETL tool that synchronized 150,000 Salesforce records to AWS daily, reducing data refresh time by 70% and eliminating manual processes.
- Implemented a bidirectional data sync between Salesforce instances using Amazon EventBridge and AppFlow, integrated with Salesforce Flows and Apex triggers, improving data consistency and enhancing operational reliability by 50%.
Technologies: Amazon S3 (AWS S3), AWS Lambda, Amazon S3 Cross-Region Replication (CRR), Amazon API Gateway, AWS Step Functions, AWS IAM, Amazon DynamoDB, Amazon CloudWatch, Amazon Kinesis Data Firehose, AWS Cloud Development Kit (CDK), Amazon Route 53, AWS Glue, Amazon RDS, Salesforce, Salesforce Apex, Salesforce Cloud Flow, Data Structures, Algorithms, Databases, Software Engineering, Database Management Systems (DBMS), JavaScript, RESTFul APIs, Big Data, NPM, Large-scale Projects, Python 3, Agile, Jira, Scrum, PostgreSQL, User Authentication, Amazon Web Services (AWS), Chrome DevTools, Pandas, NumPy, Data Visualization, ETL, REST, Git, GitHub, Performance, Data Validation, API Integration, English, Communication, APIs, Architecture, NoSQL, Python, Unit Testing, REST APIs, CI/CD Pipelines
Software Engineer
2023 - 2023
Dell
- Designed and developed multiple components for all micro-frontend applications of the customer-facing product Lightning, leveraging React, JavaScript, Redux, Web Components, Webpack, and jQuery to boost user engagement metrics by 40%.
- Performed root cause analysis on over 10 issues, identified bugs, and deployed fixes to production within the same sprint.
- Spearheaded testing initiatives using Jest for unit testing and Chrome DevTools for end-to-end and integration testing, improving software reliability and production performance by 35%.
Technologies: React, Redux, Web Components, Webpack, jQuery, Jest, Chrome DevTools, Data Structures, Algorithms, Software Engineering, JavaScript, Mocha, JSON Web Tokens (JWT), Express.js, RESTFul APIs, Big Data, GSAP, D3.js, NPM, Next.js, Zustand, Tailwind CSS, Tailwind UI, User Interface (UI), CSS3, CSS, Large-scale Projects, HTML5, TypeScript, Agile, Jira, Scrum, Microservices, OAuth 2, User Authentication, Authorization, TypeScript 5, GreenSock Animation Platform (GSAP), Data Visualization, Material UI, Axios, React Hooks, REST, Application State Management, Git, GitHub, Three.js, Responsive, Themes, Flexbox, Responsive UI, Performance, Responsive Development, Code Splitting, Data Validation, API Integration, English, Communication, User Experience (UX), APIs, Front-end, NoSQL, HTML, Progressive Web Applications (PWAs), Unit Testing, REST APIs, CI/CD Pipelines, UI Design, Web UI Design
Full-stack Software Engineer
2021 - 2022
Amantya Technologies
- Engineered front-end and back-end applications for clients using React, TypeScript, Python, Django, MongoDB, and SQL to process communication tower data, enabling analysis and the development of stable networks for their customers.
- Optimized SQL queries in PostgreSQL, achieving a 30% improvement in database performance.
- Built innovative microservices and web services such as SOA, SOAP, and REST to monitor tower data, reducing API response times by 60% through modern methods and back-end query optimizations.
- Drove the seamless integration of OAuth, strengthening system security and improving user authentication efficiency by 25%, creating a robust and user-friendly authentication ecosystem.
- Refactored a 100,000-line Python analytics pipeline, reducing runtime from four hours to 22 minutes and lowering AWS compute costs by $18,000 per quarter.
Technologies: React, TypeScript, Python 3, MongoDB, SQL, Django, Agile, Jira, Scrum, Microservices, OAuth 2, PostgreSQL, User Authentication, Authorization, Amazon Web Services (AWS), Data Structures, Algorithms, Databases, Software Engineering, Database Management Systems (DBMS), Node.js, JavaScript, Jest, Mocha, JSON Web Tokens (JWT), Express.js, Passport.js, RESTFul APIs, Big Data, Redux, GSAP, D3.js, NPM, Next.js, Zustand, Tailwind CSS, Tailwind UI, User Interface (UI), CSS3, CSS, Large-scale Projects, HTML5, Web Components, Webpack, jQuery, Chrome DevTools, Amazon S3 (AWS S3), AWS Lambda, Amazon S3 Cross-Region Replication (CRR), Amazon API Gateway, AWS Step Functions, AWS IAM, Amazon DynamoDB, Amazon CloudWatch, Amazon Kinesis Data Firehose, AWS Cloud Development Kit (CDK), Amazon Route 53, AWS Glue, Amazon RDS, TypeScript 5, Mapbox API, Mapbox GL, Google Maps API, GreenSock Animation Platform (GSAP), Pandas, NumPy, Geospatial Data, Data Visualization, ETL, Material UI, Axios, Sharding, React Hooks, REST, Application State Management, Netlify, Git, GitHub, Three.js, WebGL, GLSL, Responsive, MathGL, Geometry, Apache, ECharts, Themes, Flexbox, Firebase, Lodash, Responsive UI, Performance, Responsive Development, Code Splitting, Data Validation, API Integration, HTML5 Canvas, Animation, Projective Geometry, English, Communication, Robotics, User Experience (UX), APIs, Architecture, Back-end, Front-end, Full-stack, NoSQL, HTML, Vercel, Python, Unit Testing, REST APIs, CI/CD Pipelines, MUI CSS
Front-end Developer
2020 - 2020
Bosler
- Collaborated with designers, product managers, and developers in cross-functional teams to enhance user accessibility by 15% by incorporating user feedback into the product design and development process, earning strong client appreciation.
- Engineered new components for a big data platform to manage and visualize millions of data points, enabling multiple partners to leverage the insights to grow their business and attract more customers.
- Built a single-page application using React, Redux, JavaScript, Three.js, D3, and other front-end technologies.
Technologies: Big Data, React, Redux, JavaScript, GSAP, D3.js, NPM, HTML5, CSS3, TypeScript, Data Structures, Algorithms, Software Engineering, Jest, Mocha, JSON Web Tokens (JWT), RESTFul APIs, Next.js, Zustand, Tailwind CSS, Tailwind UI, User Interface (UI), CSS, Agile, Jira, Scrum, OAuth 2, User Authentication, Web Components, Webpack, jQuery, Chrome DevTools, TypeScript 5, Google Maps API, GreenSock Animation Platform (GSAP), Data Visualization, Material UI, Axios, React Hooks, REST, Application State Management, Git, GitHub, Three.js, Responsive, Apache, ECharts, Themes, Flexbox, Responsive UI, Performance, Responsive Development, Code Splitting, Data Validation, API Integration, HTML5 Canvas, Animation, English, Communication, User Experience (UX), APIs, Architecture, Front-end, NoSQL, HTML, Progressive Web Applications (PWAs), Vercel, Unit Testing, REST APIs, MUI CSS, UI Design, Web UI Design
Node.js Back-end Developer
2018 - 2020
GITS Solutions
- Designed, developed, and deployed secure, high-performance RESTful APIs with Node.js, Express, and Fastify, enabling seamless API integrations.
- Architected a robust authentication and authorization system using Passport.js and JSON Web Token (JWT), ensuring secure user access and protecting API data.
- Spearheaded comprehensive testing with Jest and Mocha, achieving 95% code coverage for back-end services and ensuring API reliability and stability, which reduced bug reports and delivered high-quality code.
Technologies: Node.js, JavaScript, Jest, Mocha, JSON Web Tokens (JWT), Express.js, Passport.js, RESTFul APIs, Data Structures, Algorithms, Databases, Software Engineering, Database Management Systems (DBMS), Big Data, NPM, Next.js, CSS, Large-scale Projects, TypeScript, Python 3, SQL, Django, Agile, Jira, Scrum, Microservices, OAuth 2, PostgreSQL, User Authentication, Authorization, Webpack, jQuery, Chrome DevTools, Amazon S3 Cross-Region Replication (CRR), Amazon API Gateway, AWS IAM, TypeScript 5, Pandas, NumPy, Geospatial Data, Data Visualization, ETL, Axios, Sharding, React Hooks, REST, Netlify, Git, GitHub, WebGL, GLSL, Responsive, MathGL, Geometry, Firebase, Lodash, Performance, Code Splitting, Data Validation, API Integration, Projective Geometry, English, Communication, APIs, Architecture, Back-end, NoSQL, HTML, Vercel, Python, Unit Testing, REST APIs, CI/CD Pipelines
Project History
Crateful: Grocery Delivery Platform
Crateful is a two-sided grocery platform, a shopper app, and a role-gated admin portal. I led the front end, shaping a Next.js and React architecture with Zustand slices for cart, lists, and checkout. Tailwind mapped to Figma tokens for consistent UI.
I integrated many back-end APIs, catalog, stores, inventory/pricing, payments, delivery slots, and orders behind an adapter layer with axios interceptors for retries and error normalization. We paired code splitting with skeletons and optimistic updates so that add-to-cart, store switching, and slot selection stay quick. A persistent client state prevents cart loss on refresh.
For auth, I set up JWT with short-lived access tokens and a refresh-token flow (silent refresh, rotation, 401 recovery). Tokens are propagated via interceptors and invalidated on logout; role-based routing separates shopper and admin while keeping users signed in across tabs.
The admin portal handles queues, reschedules, slot creation, and truck-ID assignment with tables, filters, and bulk actions; status-aware controls prevent conflicting updates. Team-wise, I set conventions (folders, component APIs, state boundaries). The result is a maintainable codebase that scales with new stores and operational rules.
I integrated many back-end APIs, catalog, stores, inventory/pricing, payments, delivery slots, and orders behind an adapter layer with axios interceptors for retries and error normalization. We paired code splitting with skeletons and optimistic updates so that add-to-cart, store switching, and slot selection stay quick. A persistent client state prevents cart loss on refresh.
For auth, I set up JWT with short-lived access tokens and a refresh-token flow (silent refresh, rotation, 401 recovery). Tokens are propagated via interceptors and invalidated on logout; role-based routing separates shopper and admin while keeping users signed in across tabs.
The admin portal handles queues, reschedules, slot creation, and truck-ID assignment with tables, filters, and bulk actions; status-aware controls prevent conflicting updates. Team-wise, I set conventions (folders, component APIs, state boundaries). The result is a maintainable codebase that scales with new stores and operational rules.
SynMob SmartCities
https://github.com/AshifAli007/synMob-smartCitiesI extended the SynMob framework to produce a privacy-preserving, city-scale synthetic GPS trajectory corpus for Los Angeles. The goal was to unblock mobility research without exposing sensitive trip data. I started by building a data prep pipeline around Parquet to pickle conversion to normalize raw mobility traces, annotate temporal context (hour-of-day, weekday/weekend), and attach grid-based spatial indices. That prep step fed both analysis notebooks and downstream model training, so the workflow could be reproduced end-to-end by other researchers.
On the modeling side, I trained sequence models (LSTM) to capture route tendencies at different times of day, then layered in spatial clustering to discover natural “corridors” of movement. The project link includes diagnostic visuals, congestion heatmaps, route-prediction animations, and short vs. long trip comparisons.
Finally, I wrapped the artifacts with utilities that export analysis-ready datasets and reproducible figures. The result is a shareable, researcher-friendly package that helps analysts identify congestion points and reason about signal timing, corridor optimization, and “what-if” scenarios.
On the modeling side, I trained sequence models (LSTM) to capture route tendencies at different times of day, then layered in spatial clustering to discover natural “corridors” of movement. The project link includes diagnostic visuals, congestion heatmaps, route-prediction animations, and short vs. long trip comparisons.
Finally, I wrapped the artifacts with utilities that export analysis-ready datasets and reproducible figures. The result is a shareable, researcher-friendly package that helps analysts identify congestion points and reason about signal timing, corridor optimization, and “what-if” scenarios.
NetPrizm: 5G Network Simulation & Visualization
NetPrizm models how devices behave around 5G towers over time. I owned the front end in React/Redux: arena views for towers/devices, layer toggles, and time scrubbing. Map layers used Mapbox GL JS and Google Maps APIs; the UI ingests UPP scenario files so engineers can replay mobility and utilization and then compare configurations across runs.
A lot of effort went into performance: taming React renders, keeping pan/zoom buttery, and structuring derived data (memoized selectors) so devices don’t stutter when you scrub the timeline. I also enforced responsive standards with media queries and hardened tricky interactions (multi-layer toggles + time window + filters) to keep the mental model obvious.
This shipped in close collaboration with back-end peers (API shapes and data contracts) and fed directly into field workflows—visualizing where capacity breaks and which tower configurations help. The work aligns with Amantya’s 5G product engineering focus and bridges simulation outputs with decisions the radio engineers needed to make.
A lot of effort went into performance: taming React renders, keeping pan/zoom buttery, and structuring derived data (memoized selectors) so devices don’t stutter when you scrub the timeline. I also enforced responsive standards with media queries and hardened tricky interactions (multi-layer toggles + time window + filters) to keep the mental model obvious.
This shipped in close collaboration with back-end peers (API shapes and data contracts) and fed directly into field workflows—visualizing where capacity breaks and which tower configurations help. The work aligns with Amantya’s 5G product engineering focus and bridges simulation outputs with decisions the radio engineers needed to make.
Octopusplus: Sharded File Management System
https://github.com/AshifAli007/octopusplusI engineered Octopusplus as a pragmatic take on application-level sharding for files and metadata. On the back end (Node.js/Express), I split uploads into chunks, assigned them to shards based on consistent hashing, and tracked the mapping in MongoDB so we could parallelize reads/writes cleanly. I added resumable uploads, checksum validation, and guardrails for partial failures, so a single problematic chunk wouldn’t poison the whole transaction.
The front end (React, Material UI) focuses on operational clarity: bulk upload UX, shard health, and content search live in one dashboard. Axios middleware handles retry/backoff and token propagation; a slim auth layer protects routes while keeping sessions snappy.
It gives teams a controllable, self-hosted storage workflow with good ergonomics and clear failure semantics.
The front end (React, Material UI) focuses on operational clarity: bulk upload UX, shard health, and content search live in one dashboard. Axios middleware handles retry/backoff and token propagation; a slim auth layer protects routes while keeping sessions snappy.
It gives teams a controllable, self-hosted storage workflow with good ergonomics and clear failure semantics.
Ingredia: Recipe Recommendation Web Application
Ingredia answers the practical question: “What can I cook with what I have?” I built a fast, modern React front end styled with Material UI and integrated Clerk for email/OAuth logins. The app talks to the Spoonacular API for recipes, ingredients, and nutrition, then cross-filters results by pantry items, dietary needs, cuisines, time, and calories. LocalStorage (scoped per Clerk user) keeps the experience immediately saved recipes, recent searches, and preferences persist without a heavy backend.
Phase 2 was about completeness and polish. I implemented ratings/reviews, a consolidated shopping-list generator that merges overlapping ingredients across selected recipes, and a more deliberate navigation rhythm so users flow from “add ingredients” to “actionable plan.”
I also used LLMs (ChatGPT + GitHub Copilot) as accelerators for scoped tasks, UI boilerplate, reducer scaffolds, and edge-case handling, then tightened the results manually. When generative code introduced state propagation bugs, I refactored for explicitness and added unit-ish checks around tricky filter paths. CI/CD runs via GitHub and Netlify for quick previews and dependable deploys.
Phase 2 was about completeness and polish. I implemented ratings/reviews, a consolidated shopping-list generator that merges overlapping ingredients across selected recipes, and a more deliberate navigation rhythm so users flow from “add ingredients” to “actionable plan.”
I also used LLMs (ChatGPT + GitHub Copilot) as accelerators for scoped tasks, UI boilerplate, reducer scaffolds, and edge-case handling, then tightened the results manually. When generative code introduced state propagation bugs, I refactored for explicitness and added unit-ish checks around tricky filter paths. CI/CD runs via GitHub and Netlify for quick previews and dependable deploys.
Kepler: Big Data Visualization Dashboard
On Kepler, I built a React and Apache ECharts analytics surface for exploring very large datasets, think multiple charts, coordinated filters, and smooth interactions at scale. I implemented cross-filtering (brush on X/Y ranges or limit records), added a data-joining workflow so different sources could be visualized as one, and wrapped it all in a theming system (light/dark, palettes) persisted per user.
The emphasis was on “feel”: charts should render fast, brushes should be silky, and layout shouldn’t fight the eye. ECharts' option model gave us expressiveness without hand-rolling every visualization, and Redux helped keep complex UI state deterministic. The result is a dashboard where non-technical users can drag in CSVs, compose views, and get to insight quickly without throwing away fidelity.
The emphasis was on “feel”: charts should render fast, brushes should be silky, and layout shouldn’t fight the eye. ECharts' option model gave us expressiveness without hand-rolling every visualization, and Redux helped keep complex UI state deterministic. The result is a dashboard where non-technical users can drag in CSVs, compose views, and get to insight quickly without throwing away fidelity.
Particle Animation Using Three.js - Galaxy
Galaxy is a WebGL playground that renders an interactive particle cosmos in your browser. I use Three.js to wire up the scene/camera/renderer stack and rely on instanced geometry so we can animate thousands of particles without GPU tears. GLSL snippets drive noise-based motion; simple orbit controls and a tuned camera make the experience feel tactile even on trackpads.
The codebase is deliberately “hackable”: parameters for point size, dispersion, and motion are centralized, shader chunks are kept tidy, and everything plays nicely with modern bundlers. It’s the kind of repo you can fork and retheme in minutes, great for visual prototypes and portfolio storytelling.
The codebase is deliberately “hackable”: parameters for point size, dispersion, and motion are centralized, shader chunks are kept tidy, and everything plays nicely with modern bundlers. It’s the kind of repo you can fork and retheme in minutes, great for visual prototypes and portfolio storytelling.
Techmarathon: Event Platform
I built the web platform that hosted our college’s multi-event tech fest. The front end (React) is plugged into a Node.js/Express and MongoDB back end and supports concurrent events, leaderboards, and a results engine to compute final rankings and highlight top performers. We handled over 2,000 users during peak windows.
Operationally, I automated CI/CD, deployed on cloud infra, and instrumented the app so we could see traffic spikes before they became issues. From an engineering perspective, the interesting bit was making the results computation both fair and fast, clear event rules, and crisp UIs for coordinators to validate runs.
Operationally, I automated CI/CD, deployed on cloud infra, and instrumented the app so we could see traffic spikes before they became issues. From an engineering perspective, the interesting bit was making the results computation both fair and fast, clear event rules, and crisp UIs for coordinators to validate runs.
Portfolio v1: Animated Personal Site
https://ashifdesigns.com/This was my animated calling card: a single-page React site with GSAP-driven motion route transitions, scroll-triggered scenes, and micro-interactions that make the content feel alive. I kept the structure accessible (semantic tags, focus management) and tuned the build output for quick first paint and stable frame timing on mid-range mobiles.
The project doubled as an experimentation bed for my animation patterns: separating choreography from layout, avoiding layout thrash, and keeping the animation budget honest so performance never feels like an afterthought.
The project doubled as an experimentation bed for my animation patterns: separating choreography from layout, avoiding layout thrash, and keeping the animation budget honest so performance never feels like an afterthought.
Music Visualizer: Hackathon Winner
A lightweight React app that turns any track into a responsive, sine-wave visual. As music plays, a neon “sin line” flexes in real time, swelling on peaks, relaxing on quiet passages, creating an immersive, performance-friendly look that stays smooth on desktop and mobile.
Under the hood, the Web Audio API feeds an AnalyserNode; I sample time-domain bytes and convert amplitude deltas into an evolving angle θ that drives sin(θ)/cos(θ) on an HTML5 canvas. Rendering uses requestAnimationFrame with smoothing and clamped deltas to avoid jitter/clipping. A small React architecture (hooks + refs) keeps audio, analyser, and canvas in sync, while responsive layout and keyboard controls make it accessible.
Under the hood, the Web Audio API feeds an AnalyserNode; I sample time-domain bytes and convert amplitude deltas into an evolving angle θ that drives sin(θ)/cos(θ) on an HTML5 canvas. Rendering uses requestAnimationFrame with smoothing and clamped deltas to avoid jitter/clipping. A small React architecture (hooks + refs) keeps audio, analyser, and canvas in sync, while responsive layout and keyboard controls make it accessible.
Education
2023 - 2025
Master's Degree in Computer Science
Florida State University - Tallahassee, FL, USA
2017 - 2020
Bachelor's Degree in Computer Science
University of Delhi - New Delhi, India
Certifications
JUNE 2025 - PRESENT
Software Engineer Certificate
HackerRank
MARCH 2025 - PRESENT
AWS S3
Coursera
FEBRUARY 2023 - PRESENT
IELTS
British Council
MARCH 2021 - PRESENT
eYantra Robotics Competetion
IIT, Bombay
SEPTEMBER 2020 - PRESENT
Problem Solving
HackerRank
Skills
Libraries/APIs
Node.js, React, GSAP, jQuery, Pandas, NumPy, Three.js, Flexbox, HTML5 Canvas, REST APIs, Passport.js, D3.js, Mapbox API, Mapbox GL, Google Maps API, WebGL, MathGL, Lodash
Tools
NPM, Webpack, AWS Step Functions, AWS IAM, Amazon CloudWatch, Amazon Kinesis Data Firehose, AWS Cloud Development Kit (CDK), AWS Glue, Git, GitHub, Mocha, Jira, Jupyter, Apache
Languages
JavaScript, HTML5, CSS3, TypeScript, Python 3, SQL, TypeScript 5, CSS, HTML, Python, GLSL
Frameworks
Jest, JSON Web Tokens (JWT), Express.js, Redux, Material UI, Tailwind CSS, Next.js, MUI CSS, Django, OAuth 2
Paradigms
Agile, REST, Responsive, Responsive Development, Unit Testing, UI Design, Web UI Design, Microservices, ETL, Scrum
Platforms
Amazon Web Services (AWS), AWS Lambda, GreenSock Animation Platform (GSAP), Netlify, Vercel, Clerk, Firebase, Salesforce
Storage
Databases, Database Management Systems (DBMS), PostgreSQL, Amazon S3 (AWS S3), Amazon DynamoDB, Data Validation, NoSQL, MongoDB
Other
Data Structures, Software Engineering, Web Development, RESTFul APIs, User Authentication, Authorization, Web Components, Chrome DevTools, Amazon S3 Cross-Region Replication (CRR), Amazon API Gateway, Amazon Route 53, Amazon RDS, Data Visualization, Axios, React Hooks, Application State Management, Geometry, Themes, Responsive UI, Performance, Zustand, API Integration, English, Communication, User Experience (UX), Large-scale Projects, APIs, Back-end, Front-end, Full-stack, Progressive Web Applications (PWAs), Tailwind UI, User Interface (UI), CI/CD Pipelines, Algorithms, Operating Systems, Big Data, Geospatial Data, Sharding, ECharts, Code Splitting, Animation, Projective Geometry, Robotics, ACM Problem Solving, Architecture, Artificial Intelligence (AI), Artificial Neural Networks (ANN), Salesforce Apex, Salesforce Cloud Flow, Long Short-term Memory (LSTM)
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