# Yash Bandekar

> Python Full Stack Developer | Gen AI | Python | AI/ML | AWS | SQL | Mongo DB | FastAPI

Location: New York, New York, United States
Profile: https://flows.cv/yashbandekar

6+ years of experience as a Senior Python Developer and Generative AI Engineer, building scalable full-stack applications and production-grade AI systems across finance, media, healthcare, and enterprise tech. My work sits at the intersection of software engineering and applied AI — I design and ship LLM-powered microservices, RAG pipelines, and multi-agent systems using LangChain, GPT-4, and open-source models like LLaMA. I've architected GenAI solutions that reduced manual processing by 40%, improved LLM response accuracy by 42%, and boosted developer productivity by 30%.
On the engineering side, I build with Python (Django, FastAPI), React, and Angular, and deploy on AWS and GCP using Docker, Kubernetes, and CI/CD pipelines. I care deeply about writing clean, testable code — my testing practices have cut post-release bugs by 25% and improved API response times by 30%

What I bring to the table:
🔹 End-to-end GenAI & RAG system design (LangChain, LangGraph, Pinecone, vector search)
🔹 Full-stack development (Python, Django, FastAPI, React, Angular)
🔹 Cloud-native architecture (AWS, GCP, Azure, Docker, Kubernetes)
🔹 MLOps & observability (MLflow, Grafana, CloudWatch, prompt versioning)
🔹 Strong data engineering chops (PySpark, Kafka, PostgreSQL, MongoDB)

## Work Experience
### Sr.Python Developer – Gen AI @ Nomura
Jan 2026 – Present
•	Building Python and Django REST APIs to support GenAI-powered internal tools, focusing on reducing API response latency across critical business endpoints.
•	Contributing to LangChain-based LLM pipelines integrated with vector databases and FastAPI for financial reporting workflows.
•	Supporting cloud-native deployments on AWS using Docker and Kubernetes, with monitoring via CloudWatch and for LLM observability.
•	Implementing prompt engineering strategies including chain-of-thought reasoning and few-shot learning to optimize token usage and output quality.
•	Assisted in enhancing existing LangChain-based LLM pipelines by fine-tuning prompts and improving retrieval logic, leading to better response relevance in financial reporting use cases.
•	Supported debugging and performance optimization of Django and FastAPI services, identifying bottlenecks and contributing to reduced API latency across key endpoints.
•	Collaborated with cross-functional teams to test and validate GenAI outputs, ensuring alignment with business requirements and improving overall reliability of AI-driven workflows.

### Sr. Python Full Stack Developer - Gen AI @ Fox Corporation
Jan 2024 – Jan 2025 | New York, NY
•	Designed and implemented scalable backend using RESTful APIs in Python (Django) to support high-volume, low-latency retail data workflows such as orders, events, and customer interactions.
•	Built and exposed Node.js-based REST APIs to enable seamless integration between frontend applications and backend services for real-time data exchange.
•	Developed API-driven services for ingesting, validating, and persisting transactional and behavioral data into MongoDB, PostgreSQL, and DynamoDB
	Built and deployed Generative AI (GenAI) integrations leveraging modern frameworks and APIs to support automation, content generation, and NLP-driven workflows.
	Developed high-performance RESTful APIs and microservices to serve AI/ML models and GenAI functionalities in production environments.
	Engineered data processing and feature pipelines to support machine learning use cases, ensuring data quality, reliability, and scalability.
	Collaborated with cross-functional teams to integrate AI/ML and GenAI capabilities into business applications, enhancing user experience and system intelligence.
	Deployed cloud-native AI services using containerization, CI/CD pipelines, and DevOps best practices, improving system resilience and release efficiency.
	Managed the full software development lifecycle (SDLC) from concept to deployment, utilizing Git for version control and implementing CI/CD pipelines to automate testing and release processes.
	Optimized application performance by profiling Python code and database queries, resulting in a $30\%$ improvement in API response times for critical business functions.

### Senior Python Developer - AI/ML @ CommerceCX
Jan 2022 – Jan 2024 | North Carolina, United States
•	Implemented automated unit, integration, and end-to-end tests using frameworks like Pytest and Django's built-in testing tools, leading to a 45% reduction in post-release bugs.
•	Successfully containerized application components using Docker for development and staging
environments, streamlining the onboarding process for new team members.
•	Built AI chatbots using GPT-4. LangChain, and vector databases to automate customer support workflows, reducing ticket volume by 6o% while maintaining high satisfaction scores.
•	Created internal Al assistants using LangChain agents and LLMs to automate code, documentation, and knowledge retrieval tasks, increasing developer productivity by 30%
•	Designed and deployed LLM-powered applications using OpenAl GPT-4› LLaMA, and Mistral with LangChain for orchestration, memory, and tool calling, reducing manual research and analysis effort by 60%
•	Built Retrieval-Augmented Generation (RAG) systems using LangChain retrievers,
FAISS/Pinecone/ChromaDB, and Hugging Face embeddings, improving response accuracy and
factual grounding by 42%

### Software Engineer @ Saama
Jan 2022 – Jan 2022 | Campbell, CA
•	Developed Python-based ETL pipelines to ingest, cleanse, and transform clinical trial datasets from HL7 FHIR and EDC systems, processing 500,000+ patient records with 99.8% data accuracy for downstream analytics.
•	Built RESTful microservices using FastAPI and Flask to serve AI-driven insights for clinical data
management, reducing manual data review cycles by 35% for life sciences clients.
•	Assisted in designing NLP modules using Hugging Face Transformers and spaCy for automated extraction of adverse events and medical entities from unstructured clinical narratives, improving annotation throughput by 50%.
•	Developed responsive front-end dashboards using React, Redux, and Material UI to visualize patient cohort analytics and trial metrics, enabling real-time decision-making for clinical operations teams.
•	Integrated backend APIs with PostgreSQL and MongoDB databases using SQLAlchemy ORM and Celery task queues, ensuring reliable asynchronous data processing for high-volume healthcare data workflows.
•	Collaborated on HIPAA-compliant cloud deployments on AWS using S3, Lambda, and CloudWatch, ensuring secure handling of protected health information (PHI) across all development and staging environments.
•	Participated in Agile sprint ceremonies and peer code reviews, refactoring legacy Python scripts into modular, well-documented packages, improving code maintainability and reducing technical debt by 20%.

### Python Developer @ Genpact
Jan 2020 – Jan 2021 | India
•	Developed REST API consumers using Python GET and POST methods, validated with Postman, reducing integration defects by 30% during sprint cycles.
•	Built and maintained data parsing modules to process CSV, XML, and JSON from REST services, automating ingestion workflows and saving 10+ hours of manual effort weekly.
•	Designed interactive web-based solutions using Python, Django Forms, HTML5, and JavaScript, enabling real-time data collection for 20,000+ online users.
•	Wrote Python modules to extract and load asset data from MySQL source databases, reducing manual data migration effort by 100% for 3 legacy system integrations.
•	Participated in full Agile/Scrum ceremonies including daily stand-ups, sprint planning, and retrospectives, contributing to on-time delivery across 10 consecutive sprint cycles.


## Education
### Bachelor of Engineering - BE in Computer Engineering
University of Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/yashb52

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Source: https://flows.cv/yashbandekar
JSON Resume: https://flows.cv/yashbandekar/resume.json
Last updated: 2026-04-05