Data Scientist - AI Engineer @ 4flow
- M.Tech in Computational and Data Science
NITK Surathkal (2022 – 2024) — Graduated with Distinction - B.Tech in Mechanical Engineering
NIE Mysore (2017 – 2021)
4flow | Nov 2025 – Present | Bengaluru, India
- Building GenAI-powered business solutions using RAG, LLMs, and agentic workflows
- Developing scalable AI systems for enterprise automation and analytics
- Working across cloud platforms, APIs, and production-grade deployments
Gramener (A Straive Company) | Sep 2024 – Nov 2025 | Bengaluru, India
PGIM Dealio — SEC EDGAR Analytics Platform
- Built FastAPI endpoints and Pydantic schemas for SEC filings and derived analytics (HFA, CAP, COMP)
- Designed a cache-first ingestion system with normalization and quarter/year rollover handling
- Integrated Azure OpenAI for metric mapping, prompt workflows, and response caching
- Developed Azure Functions for background jobs with secure authentication and Blob/Table logging
- Created a lightweight JS + Tailwind UI and generated PDF/Word reports using ReportLab, PyMuPDF, Jinja2
Malaysia Traffic Flow Visualization (Penang Island POC)
- Built predictive models for traffic speed and delay forecasting
- Processed geospatial data using Turf.js, Mapbox GL JS, and ArcGIS
- Developed Flask APIs to serve data to interactive dashboards
- Enabled real-time visualization of traffic flow and predictions
RAG Framework for Financial Document Querying
- Implemented pgvector-based vector search with PostgreSQL (3072-d embeddings)
- Designed fusion ranking methods (RRF, LCRF, CombSUM) for improved retrieval accuracy
- Built APIs for ingestion, embedding, and query workflows
- Supported multi-cloud deployment and developer tool integrations
First Author
From Pixels to Prognosis: Exploring from UNet to Segment Anything in Mammogram Image Processing for Tumor Segmentation
IEEE CONIT 2024
- AI agents for business problem solving
- Traffic forecasting and time-series systems
- Financial document search with RAG
- PostgreSQL (pgvector), OpenAI API, LangChain, cloud deployments
- GenAI, RAG, Agentic AI systems
- Vector search and knowledge graphs
- Geospatial analytics and visualization
- Medical image segmentation (U-Net, SAM)
- End-to-end ML system design and deployment
- IBM – Apache Hadoop Developer
- MathWorks – Machine Learning & MATLAB Onramps
- AWS – Certified AI Practitioner (Upskilling)
