Aashka Bhadresh Kapadia
Verified Expert in Engineering
Software Developer
Dubai, United Arab Emirates
Toptal member since January 10, 2022
Aashka is a senior back-end and AI-first software engineer with expertise in Python, Java, AWS, and distributed systems. She builds scalable microservices, serverless architectures, and AI-powered applications. Currently, Aashka is modernizing enterprise systems to cloud-native AWS platforms and developing MCP-based AI orchestration layers for agent workflows, while delivering AI features such as chat assistants, summarisers, and automation tools to improve productivity.
Portfolio
Experience
- Software Architecture - 7 years
- Performance Optimization - 7 years
- Python - 7 years
- Amazon Web Services (AWS) - 6 years
- Prompt Engineering - 3 years
- Large Language Models (LLMs) - 3 years
- Agentic AI - 2 years
- AI Agent Orchestration - 2 years
Preferred Environment
Claude Code, Cursor AI
The most amazing...
...thing I built was an MCP-based AI orchestration layer that enables structured tool access for agents across internal systems and improving automation.
Work Experience
AI-first Software Engineer III
Kayako
- Re-architected Kayako’s legacy back-end into modular, cloud-native AWS services while building an MCP server and custom Claude skills and plugins for Claude Enterprise to enable structured tool access for AI agents across internal systems and APIs.
- Designed and shipped multiple AI-native product capabilities—including an in-app chat assistant, ticket summariser, and AI autocomplete, alongside agentic workflows for code generation, debugging, refactoring, and incident triage across the SDLC.
- Implemented feature flagging and centralized observability to support safe AI-driven deployments, experimentation, and KPI-based monitoring for continuous system and product optimization.
Python & SDLC Developer
Woven Alpha - Main
- Built and orchestrated a system for the geographical data conversion and tiling of supplier-furnished maps into the NDS.Live format, utilizing Python for scripting and the Shapely library for precise geographical data manipulation and analysis.
- Implemented horizontal scaling on AWS through strategic data partitioning of data across Amazon S3 Buckets and deploying optimized Amazon EC2 instances for processing.
- Resolved memory issues and significantly expanded geographical data conversion capabilities from 3,000 km to 400,000 km.
Software Development Engineer
Flipkart Private Limited
- Handled and managed a processing scale of one million orders per day and inventory management for 700+ million listings.
- Reengineered and modeled an inventory reservation forecast service, which reduced the run time from four hours to five minutes. Headed walkthroughs and client negotiations to define contracts and milestones.
- Engineered and deployed a new reporting microservice to fetch and merge data from MongoDB in Python using FastAPI.
- Designed and implemented state machine and automatic triggers for complex entities using the Stateless4j library.
Technology Analyst, Controllers Division
Goldman Sachs
- Modeled a new data architecture pipeline by liaising with global teams across the Americas, APEC, China, and EMEA. Developed E2E report generation in four weeks, which enabled the FRS to understand the evolving state of the economy during the pandemic.
- Architected and built refiners by collaborating with cross-functional teams for the Apple credit card issued by GS, which enabled the filling of millions of credit cards per month.
- Scoped and programmed flow for involuntarily terminated loans. Systematically automated the report generation, which eliminated human manual errors.
- Introduced and developed a calendar BI solution in the reporting service dashboard, which increased visibility and reduced decision-making process time.
- Instituted self-regulating data validation contracts and input standardization, which accelerated key business processes and brought down failure job run-time.
Experience
Calorie Tracker APP
Image Style Transfer Using Deep Learning Neural Networks
https://docs.google.com/presentation/d/1DXIv0zQnQAq6SfVqeIxfk9LMhjg5Q8dLciAr58ls5L0/editObject Segmentation and Per-pixel Classification
https://docs.google.com/presentation/d/17SgmYHb7Pr4Ct3gcBFEM0rFaY_mh_NPTgSAb4UsXDhQ/edit?usp=sharingPandora’s JukeBox
https://docs.google.com/presentation/d/1LoDeywhuSkPwwMBXBi2NfzvQxfXso4hzP8WLAtnyGDM/edit?usp=sharingImage Forgery Detection
https://docs.google.com/presentation/d/1qjbbrKqGxAtaRmQsC-6n539CnL5OguX_BFOnx4baSks/edit?usp=sharingProfessional Provider System
Education
Bachelor's Degree in Computer Science
Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT) - Gandhinagar, India
Certifications
REST API (Intermediate) Certificate
HackerRank
Apache Spark 2.0
Udemy
Skills
Libraries/APIs
Node.js, REST APIs, React, SQLAlchemy, PyTorch, NumPy, TensorFlow, Stateless4j, jQuery
Tools
IntelliJ IDEA, Claude, Apache, MATLAB, Claude Code
Languages
Python, Python 3, SQL, Java, GraphQL, JavaScript, Java 8, TypeScript, HTML5, HTML
Frameworks
Django, Django REST Framework, Apache Spark, Hibernate, Dropwizard, Flask, LangGraph, Hadoop, Bootstrap
Paradigms
Object-oriented Programming (OOP), Role-based Access Control (RBAC), Model Context Protocol (MCP), REST, ETL, Automation, Serverless Architecture
Storage
RDBMS, Apache Hive, PostgreSQL, NoSQL, Data Pipelines, MySQL, Databases, Amazon DynamoDB, Amazon S3 (AWS S3), MongoDB
Platforms
Visual Studio Code (VS Code), Amazon Web Services (AWS), Docker, AWS Lambda, Amazon EC2
Other
Computer Science, Async/Await, AI-generated Code, Software Architecture, LLM Integration, AI Agents, AI Agent Orchestration, Natural Language Processing (NLP), FastAPI, RAG Architecture, Artificial Intelligence (AI), Agentic AI Systems, Agentic Workflow Design, Large Language Models (LLMs), Prompt Engineering, Cursor AI, LangChain, Architecture, Gemini, Event-driven Systems, Convolutional Neural Networks (CNNs), GAN, Deep Learning, Normalization, APIs, Back-end, Full-stack, Nutritionix API, Generative Pre-trained Transformers (GPT), CI/CD Pipelines, Data Processing, Relational Data Mapping, Agentic AI, Backend Systems Design, Performance Optimization, Generative Artificial Intelligence (GenAI), Cloud Computing, Recommendation Systems
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