Shubham is available for hire
Hire ShubhamShubham Dipt, PhD
Verified Expert in Engineering
AI and Full-Stack Developer
Berlin, Germany
Toptal member since April 26, 2022
Bio
Shubham is a full-stack data engineer and scientist with a PhD in computational neuroscience and over 10 years of industry experience programming in Python. He has also worked as a back-end developer, data engineer, and data scientist. Shubham leverages his diverse experience to understand and solve technical challenges holistically.
Portfolio
Eva Tate
Full-stack, Web Scraping, eCommerce, APIs
John Kim
Artificial Intelligence (AI), APIs, AI Automation, API Integration, Python...
Bregal Milestone LLP
Artificial Intelligence (AI), Machine Learning...
Experience
- Python - 10 years
- Artificial Intelligence (AI) - 8 years
- APIs - 7 years
- Django - 7 years
- Software as a Service (SaaS) - 7 years
- Data Engineering - 4 years
- React - 4 years
- Agentic AI - 2 years
Preferred Environment
PyCharm, Visual Studio Code (VS Code), Python
The most amazing...
...experience was working as the CTO for a startup company. It was challenging at first, but I achieved most deliverables well within deadlines.
Work Experience
Full-stack AI Developer
2026 - 2026
Eva Tate
- Implemented early UI/UX designs and integrated necessary APIs. Developed both front-end and back-end components of the web application.
- Developed AI workflows to manage the data processing pipelines.
- Enhanced the platform with AI functionalities for real-time price finding and typo correction. Ensure the platform can suggest alternative products when exact matches are unavailable.
Technologies: Full-stack, Web Scraping, eCommerce, APIs
Senior AI Automation Engineer
2026 - 2026
John Kim
- Automated email processing in Outlook, creating templates from incoming emails and attachments. Develop back-end automations for invoice processing, integrating with QuickBooks and Clio.
- Ensured a closed-loop AI system to protect client information.
- Implemented a workflow tracking system to enhance visibility and efficiency.
Technologies: Artificial Intelligence (AI), APIs, AI Automation, API Integration, Python, PostgreSQL, Full-stack, Trademarks, Law
Senior Lead Full-stack Developer
2025 - 2026
Bregal Milestone LLP
- Performed a complete upgrade of the whole AI infrastructure.
- Handled back-end, front-end, and data management in Azure and refactored to the latest industry standards.
- Developed investment and finance-related features in the app.
Technologies: Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), LangChain, AI Agents, Agentic AI, Python, PySpark, Azure, Databricks, Vector Databases, Technical Leadership, Cloud, FastAPI, Full-stack Development, React, GitOps, AI-generated Code, User Interface (UI), User Experience (UX), GitHub, Responsive Design, Azure Cloud Services, Microsoft Power Apps, Business Strategy, Business Transformation
Data Science and AI/ML Developer
2025 - 2026
JCG Collective LLC
- Developed a mathematical model for behavioral analysis while continuously engaging with the client.
- Developed the back and front ends with Python and React, using the latest technologies.
- Handled the complete management of DevOps and the server.
Technologies: Artificial Intelligence (AI), LangChain, Large Language Models (LLMs), Data Science, Machine Learning, Python, Mathematical Modeling, Natural Language Processing (NLP), User Behavioral Analytics (UBA), GitHub, Responsive Design, Artificial Intelligence (AI), Business Strategy, Business Transformation
Senior Full-stack Engineer
2025 - 2026
Efelan Capital Sàrl
- Developed the whole AI architecture of the product.
- Updated the client regularly and finalized the full feature sets needed.
- Completed full-stack development. The entire setup included the back end, front end, and data management.
Technologies: SaaS, React, FastAPI, Python, LangChain, Supabase, Docker, Amazon Web Services (AWS), Architecture, Large Language Models (LLMs), Qdrant, GitHub, Responsive Design, Azure Cloud Services, Artificial Intelligence (AI), Business Strategy, Business Transformation
Tech Lead | Full-stack Developer
2024 - 2025
Colgate-Palmolive - Main
- Engineered and optimized a Generative AI research and insights tool, transitioning it from Proof of Concept PoC to a production-ready application.
- Integrated the solution with the company’s internal innovation platform, enabling seamless access and empowering localized innovation teams to leverage AI-driven insights at scale.
- Led the development of secure, API-based integrations between the AI tool and the internal innovation ecosystem.
- Established monitoring and governance protocols to ensure data compliance and system reliability, supporting scalable AI-driven decision-making processes.
Technologies: Full-stack, Python, Architecture, CI/CD Pipelines, React, JavaScript, Machine Learning, Node.js, PostgreSQL, Object-oriented Programming (OOP), Microservices, MySQL, FAISS, Full-stack Development, Software Design, Apache Kafka, HTML, Chatbots, Scalable Application, Unit Testing, NoSQL, Back-end Development, LangChain, OpenAI, Retrieval-augmented Generation (RAG), Large Language Models (LLMs), Azure OpenAI Service, AWS Lambda, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), Data Pipelines, Enterprise, Agentic AI, Vector Databases, Pinecone, AI Automation, AI Architecture, GitHub, Responsive Design, Microsoft Azure, Artificial Intelligence (AI), Business Strategy, Business Transformation
Tech Lead | Full-stack Developer
2024 - 2025
Colgate-Palmolive
- Continued to develop the PoC, primarily focusing on creating requirements to visualize a roadmap for tasks to complete for phase 1. Worked closely with other developers, the product manager, and the delivery manager to ensure the project's success.
- Examined the tech stack regarding quality, sustainability, scalability, and efficiency. Helped define requirements through thoughtful questioning. Reviewed the chosen architecture, tools, and technology stack, if relevant.
- Designed and developed scalable and high-performance applications. Wrote clean, maintainable, and efficient code that adheres to software development best practices. Participated in code reviews and provided constructive feedback to other developers.
Technologies: Architecture, Python, JavaScript, Artificial Intelligence (AI), ChatGPT, Next.js, TypeScript, Celery, Redis, Tailwind CSS, Databases, Object-oriented Programming (OOP), Microservices, MySQL, Full-stack Development, Software Design, HTML, Chatbots, Scalable Application, Unit Testing, NoSQL, Back-end Development, LangChain, OpenAI, Retrieval-augmented Generation (RAG), Large Language Models (LLMs), Azure OpenAI Service, AWS Lambda, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), Data Pipelines, Enterprise, Agentic AI, Vector Databases, AI Automation, AI Architecture, GitHub, Responsive Design, Microsoft Azure, Artificial Intelligence (AI), Business Transformation
Django/React Developer via Toptal
2023 - 2024
Property Litigation Group, PLLC
- Managed the full-stack development of an application.
- Tracked, managed, and fixed bugs in software development.
- Created the PDF text extraction setup. Developed and managed the entire pipeline of this process.
Technologies: Python, Django, REST APIs, React, Database Modeling, UI Design, Back-end, React Native, Full-stack, Node.js, Python Asyncio, Next.js, TypeScript, Celery, Tailwind CSS, Databases, Supabase, Object-oriented Programming (OOP), Microservices, MySQL, FAISS, Software Design, HTML, Chatbots, Scalable Application, Unit Testing, NoSQL, Back-end Development, Telegram Bot API, LangChain, OpenAI, Retrieval-augmented Generation (RAG), Large Language Models (LLMs), Azure OpenAI Service, Amazon S3 (AWS S3), Amazon RDS, Amazon Simple Queue Service (SQS), Data Pipelines, Agentic AI, Vector Databases, Figma, AI Automation, AI Architecture, GitHub, Responsive Design, Artificial Intelligence (AI)
Senior Data Engineer
2022 - 2024
RetailSonar
- Managed machine learning algorithms for processing big data.
- Designed and created data warehouse infrastructure in AWS.
- Managed the data team within the company and was involved in code reviews and development.
- Made the ETL pipeline fast and efficient and improved it by around 40%.
Technologies: Amazon Web Services (AWS), APIs, Python, Spark, Machine Learning, Redshift, PostgreSQL, SQL, Apache NiFi, Hadoop, Apache Airflow, Apache Superset, IT Management, Leadership, CI/CD Pipelines, Technical Leadership, Software Architecture, Project Management, Amazon API, Apache Spark, Cloud, Application Architecture, Cloud Infrastructure, Test-driven Development (TDD), REST APIs, Linux, Bash Script, SQLAlchemy, Pydantic, Database Modeling, Back-end, Kubernetes, Celery, Redis, Databases, Microservices, MySQL, Apache Kafka, Pandas, ArcGIS, HTML, Databricks, NoSQL, AWS Lambda, Amazon S3 (AWS S3), Amazon RDS, Amazon Simple Queue Service (SQS), Data Pipelines, GitHub, Responsive Design
Lead Python Developer and Solution Architect
2022 - 2022
Genius Ventures, Inc. - Main
- Developed an application using Django to control an avatar that can interact with people.
- Built the complete architecture of the product in AWS.
- Tracked issues and features in Jira for the whole back-end and front-end teams.
Technologies: Python, Django, OpenCV, WebRTC, Amazon Web Services (AWS), Software as a Service (SaaS), APIs, SQL, Data Science, New Relic, IT Management, Leadership, CI/CD Pipelines, Technical Leadership, Software Architecture, Project Management, React, Google Cloud Platform (GCP), Amazon API, Azure, Apache Spark, Cloud, Application Architecture, Cloud Infrastructure, Test-driven Development (TDD), REST APIs, Linux, Bash Script, SQLAlchemy, Database Modeling, Back-end, React Native, Full-stack, Kubernetes, Python Asyncio, Redis, Databases, Object-oriented Programming (OOP), Microservices, MySQL, Full-stack Development, Software Design, Apache Kafka, Pandas, HTML, Chatbots, Scalable Application, Unit Testing, NoSQL, Back-end Development, AWS Lambda, Amazon S3 (AWS S3), Amazon RDS, Amazon Simple Queue Service (SQS), Data Pipelines, Amazon DynamoDB, GitHub, Responsive Design
Senior Python Developer
2021 - 2022
Laya Technologies
- Developed internal API services using Django REST framework and pydantic.
- Maintained API servers in Amazon Web Services (AWS) using Docker.
- Reviewed code and maintained data for multiple projects.
Technologies: Python, Django, Flask, Pyramid, Django REST Framework, PostGIS, Amazon Web Services (AWS), Docker, Jenkins, Software as a Service (SaaS), APIs, SQL, FastAPI, New Relic, IT Management, CI/CD Pipelines, Technical Leadership, Software Architecture, Project Management, Amazon API, Azure, Apache Spark, Cloud, Application Architecture, Cloud Infrastructure, Test-driven Development (TDD), REST APIs, Linux, Bash Script, SQLAlchemy, Pydantic, Database Modeling, UI Design, Back-end, React Native, Full-stack, Node.js, Kubernetes, Python Asyncio, Databases, Object-oriented Programming (OOP), Microservices, MySQL, HTML, Unit Testing, NoSQL, Back-end Development, Amazon S3 (AWS S3), Amazon RDS, Data Pipelines, Amazon DynamoDB, GitHub, Responsive Design
Data Engineer
2017 - 2018
Styla
- Performed complex development tasks and challenging projects related to image analysis, data mining, machine learning, and layout algorithms.
- Collected data to offer the best possible experience for customers and made decisions on the technologies to use.
- Maintained the complete ETL processes for different departments.
Technologies: Python, Amazon Web Services (AWS), Redshift, Amazon Elastic Container Service (ECS), Elasticsearch, Amazon Elastic MapReduce (EMR), Spark, Django, Flask, APIs, Data Engineering, SQL, Data Science, IT Management, CI/CD Pipelines, Software Architecture, Project Management, Amazon API, Application Architecture, Cloud Infrastructure, Test-driven Development (TDD), REST APIs, Linux, Bash Script, Celery, Redis, Databases, Microservices, Pandas, HTML, Databricks, NoSQL, Data Pipelines, GitHub
Django Full-stack Developer
2016 - 2017
Lumenaza
- Developed the back end and front end of the Lumenaza website.
- Maintained data quality and regular backups of the database.
- Reviewed code and built new features for the project.
Technologies: Django, Django CMS, PostgreSQL, Python, HTML, CSS, JavaScript, jQuery, Software as a Service (SaaS), APIs, SQL, Project Management, Cloud Infrastructure, Linux, SQLAlchemy, Full-stack, Node.js, Databases, Object-oriented Programming (OOP), Microservices, Full-stack Development, Stripe, Back-end Development, Data Pipelines, GitHub
Senior Python Developer
2015 - 2016
Ewit (123makler brand)
- Developed the back end of the 123mackler website based on Django.
- Maintained code quality for all the projects involving Python.
- Maintained the continuous integration and continuous deployment pipeline.
Technologies: Python, Django, PostgreSQL, Web Scraping, Software as a Service (SaaS), APIs, SQL, Project Management, Linux, Full-stack, Databases, Object-oriented Programming (OOP), Microservices, HTML, Stripe, GitHub
Experience
Development of an Interactive Avatar Based on Machine Learning
A metaverse project where a talking animated avatar was developed. My role primarily involved making the avatar interactive based on human gestures and voice recognition. I managed the whole technical and data architecture as a lead. The tech stack was based on Python and AWS using machine learning.
Development of High Performant APIs for the Travel Industry
A vacation planner app was created where I worked as a senior Python developer. My responsibility involved creating and maintaining APIs using FastAPI, Pyramid, and Django. Different frameworks were utilized due to legacy reasons. All these Python web frameworks served several different APIs for flight, car, and hotel bookings as a package.
Passbolt Python API
https://github.com/shubhamdipt/passbolt-python-apiAn open-source Python client for Passbolt, a password management service. Passbolt didn't have a Python client, so I created one that's compatible with the API services provided by the Passbolt service.
Generative AI PoC Tool
The project aims to industrialize a generative AI PoC tool used for research, data, and insight gathering by integrating it with an internal innovation platform and making it available across 20 markets globally. The vision is to harness the power of GenAI to accelerate innovation initiatives.
Two-photon Microscope Software
I created software using LabVIEW and Python for imaging neuronal activity in the fly brain. The software coordinated imaging across multiple devices, which stimulated neurons by providing odor and light stimulation.
Education
2011 - 2015
PhD in Computational Neuroscience
Max Planck Institute for Dynamics and Self-Organization - Goettingen, Germany
Skills
Libraries/APIs
Amazon API, REST APIs, SQLAlchemy, Pydantic, Pandas, jQuery, React, Node.js, Python Asyncio, ArcGIS, Stripe, OpenCV, WebRTC, Telegram Bot API, PySpark
Tools
Apache Airflow, ChatGPT, Celery, Azure OpenAI Service, Amazon Simple Queue Service (SQS), GitHub, Jenkins, Apache NiFi, Microsoft Power Apps, Amazon Elastic Container Service (ECS), Amazon Elastic MapReduce (EMR), Figma, LabVIEW, ImageJ, MATLAB
Languages
Python, HTML, SQL, Bash Script, CSS, JavaScript, TypeScript, C#.NET
Frameworks
Django, Flask, React Native, Next.js, Django REST Framework, Apache Spark, Tailwind CSS, Spark, Pyramid, Hadoop
Paradigms
Application Architecture, Test-driven Development (TDD), Object-oriented Programming (OOP), Microservices, Scalable Application, Unit Testing, UI Design, DevOps, User Behavioral Analytics (UBA)
Platforms
Amazon Web Services (AWS), Azure, Linux, Apache Kafka, AWS Lambda, New Relic, Google Cloud Platform (GCP), Kubernetes, Databricks, Django CMS, Docker, AWS IoT
Storage
PostgreSQL, Database Modeling, Databases, MySQL, NoSQL, Amazon S3 (AWS S3), Data Pipelines, Azure Cloud Services, Redshift, Redis, Amazon DynamoDB, Elasticsearch, PostGIS
Industry Expertise
Project Management, Healthcare
Other
APIs, FastAPI, Apache Superset, Cloud, Cloud Infrastructure, Back-end, Full-stack, Architecture, Artificial Intelligence (AI), Software Design, Chatbots, Back-end Development, LangChain, OpenAI, Retrieval-augmented Generation (RAG), Large Language Models (LLMs), Amazon RDS, Enterprise, Agentic AI, Vector Databases, AI Automation, AI Architecture, Responsive Design, Microsoft Azure, Artificial Intelligence (AI), Business Strategy, Business Transformation, Web Scraping, Software as a Service (SaaS), Data Engineering, Data Science, IT Management, Leadership, CI/CD Pipelines, Technical Leadership, Software Architecture, FAISS, Full-stack Development, CTO, Pinecone, Machine Learning, WebSockets, Voice Recognition, Supabase, Generative Artificial Intelligence (GenAI), Abstract Syntax Trees (AST), SaaS, Qdrant, Mathematical Modeling, Natural Language Processing (NLP), AI Agents, GitOps, AI-generated Code, User Interface (UI), User Experience (UX), API Integration, Trademarks, Law, eCommerce
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