Senior Python Architect
Building AI agents, open-source tools, and indie finance products. 8+ years turning complex problems into elegant, scalable systems.
I design and build high-performance AI systems, from autonomous agents to serverless data pipelines, at enterprise scale. Currently leading GenAI product development at Emergys Solutions, shipping products that drive real client revenue.
Passionate about open source. My Python libraries, pyresparser and pygorithm, have crossed 450,000+ downloads on PyPI and are used in HR-tech products globally.
Founder of TrackMyRupee, a privacy-first AI finance tracker. I also sketch, photograph, and create digital illustrations under @the.october.kid.
From data engineering internships to leading GenAI teams; here's how the story unfolded.
ClearWater Securities, Pune
Emergys Solutions, Pune
Architected Text-to-SQL GenAI agents, autonomous supply-chain AI, and Marketing Mix Modeling platforms. Led two agile teams (9–11 engineers). Earned the Q4 2023 High Flyer Award for driving $300K+ in client revenue.
Numerator, Pune
Built Airflow-based ETL pipelines ingesting data from emails, PostgreSQL, Oracle, and CSVs into Snowflake. Authored and maintained CI/CD pipelines and REST APIs for Numerator's data lake products.
Schlumberger (SLB), Pune
Built Source-to-Hub pipelines loading directly into Google BigQuery. Reduced Informatica migration time from 9 hours to 1.5 hours. Maintained a data ingestion framework processing ~1 TB/day across 70+ business units.
MMCOE, Pune
Graduated with Best Outgoing Student Award. Published research at NCETCAS-2018. Led Innovatus tech fest. Contributed to Pune PyCon 2018. Interned at Truso, and Propeluss during studies.
Privacy-first AI finance tracker for Indian professionals. Natural language expense entry and AI-powered spending forecasts.
Resume parsing library using SpaCy. 450,000+ downloads. Integrated into HR-tech products worldwide for structured data extraction.
Blazing-fast PII scrubbing for LLM training and RAG pipelines. Multi-core parallel processing. Zero external dependencies.
LLMs (GPT-4, Llama), LangChain, LlamaIndex, RAG, Vector Databases, Prompt Engineering
Python (Advanced), SQL (PostgreSQL, Snowflake, BigQuery), Bash, JavaScript / TypeScript
FastAPI, Django, Flask, Streamlit, Scikit-learn, Pandas, Apache Airflow, Spark
Azure (Functions, Logic Apps, ADF), AWS (Lambda, Serverless), Docker, Kubernetes, CI/CD