Open to opportunities

Mohan Krishna kosetty

@mohankrishnakosetty

Message

I build scalable backend platforms and GenAI applications that automate research and data workflows.

India

Message

What I'm looking for

I'm looking to build scalable backend and GenAI products, especially LLM workflows, RAG systems, automation pipelines, and data platforms that improve research efficiency and operational decision-making.

At FactSet Research Systems, I build GenAI-powered research and document intelligence products that automate competitor research, source extraction, claim verification, and grounded Q&A.

I designed a Market Research Intelligence Assistant with a multi-stage LLM pipeline and real-time FastAPI SSE monitoring, and a Document Intelligence RAG Assistant that ingests PDFs and URL content into ChromaDB. I also architected an LLM-agnostic LangChain RAG pipeline spanning OpenAI, Claude, and Gemini.

Previously at FactSet, I improved ETL processing time by 75%, from six hours to 1.5 hours, through parallelization, caching, and efficient I/O. I've also built ML-assisted classification workflows, LLM-based parsers for NPX documents, and Python backend APIs for distributed data curation systems.

My earlier backend work at Finoramic and IBhubs included financial wellness and e-learning platforms built with Node.js, Python, Django, REST APIs, TDD, and clean architecture.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

FactSet Research Systems Inc.

Oct 2024 - Present (1 year 10 months)

Designed and built a Market Research Intelligence Assistant automating competitor research through a multi-stage LLM pipeline, and a Document Intelligence RAG Assistant for self-service Q&A. Architected an LLM-agnostic RAG pipeline using LangChain with provider abstraction across OpenAI, Claude, and Gemini.

LLM Applications Generative AI LLM As A Judge Prompt Engineering Embeddings Vector Search Lang Chain OpenAI Anthropic: Claude Claude Code Gemini fastAPI SSE ChromaDB Python AWS Docker

Software Development Engineer 3

FactSet Research Systems Inc.

Oct 2022 - Oct 2024 (2 years)

Optimized ETL pipeline performance, reducing end-to-end processing time by 75% through parallelization, caching, and efficient I/O operations. Developed ML-assisted workflows for classification and extraction of M&A-relevant data, and automated proxy vote data collection, reducing manual effort by 60%.

ETL Python fastAPI Data Extraction Automation Performance Optimization AWS SQL

Software Development Engineer 2

FactSet Research Systems Inc.

Apr 2021 - Oct 2022 (1 year 6 months)

Collaborated with cross-functional teams to unify data pipelines across multiple domains. Contributed to backend service development and API design using Python, and participated in code reviews, sprint planning, and technical documentation.

Python API Design Data Pipelines Agile Code Review Performance Profiling

Software Development Engineer (Backend)

Finoramic Inc.

Jun 2020 - Jun 2021 (1 year)

Developed scalable backend services for a financial wellness platform, including modules for investment tracking, resolutions, and notification services. Improved backend reliability through asynchronous design patterns and modular refactoring.

Backend Development Asynchronous Programming REST APIs

Associate Software Development Engineer

IBhubs (Ibuild Innovations India Pvt. Ltd.)

Jun 2019 - Apr 2020 (10 months)

Developed backend systems for an e-learning and assessment platform, building REST APIs and implementing TDD with pytest. Participated in Agile sprints using Jira and followed clean architecture and modular coding standards.

Python Django REST APIs Pytest Agile Jira Clean Architecture