Resume
Download PDF ResumeFounding Engineer with 6+ years of experience building production-grade AI systems, multi-agent orchestration (CrewAI, LangChain), agentic workflows, KG-RAG pipelines, and full-stack AI applications. Strong in Python, FastAPI, React/Next.js, Neo4j, vector databases, cloud deployment, and evaluation-driven AI system design.
Technical Skills
Experience
OpGov.ai
January 2025 - Present
San Francisco, CA
- Managed end-to-end delivery of a civic-tech data platform, overseeing architecture of data ingestion pipelines processing terabytes of unstructured meeting transcripts (JSON/Text)
- Wrote and maintained Python and Bash scripts to automate daily scraping, cleaning, and ETL loading of data from 50+ city portals, ensuring 99.9% data availability
- Performed deep-dive troubleshooting on backend pipeline failures by parsing server logs and tracing API errors, reducing MTTR by 40%
- Established CI/CD automation framework using GitHub Actions and Shell scripting to streamline deployment to Azure
Petpin AI
February 2024 - August 2024
Remote
- Led technical execution of an AI-driven hardware product, managing integration between on-device firmware (Python/Linux) and cloud backend systems
- Designed and implemented data collection pipelines capturing high-frequency telemetry data (JSON) from IoT devices
- Executed complex Python scripts for data validation and model performance testing, identifying critical edge cases in computer vision pipeline
- Managed cross-functional trade-offs between hardware constraints and UX goals, delivering functional prototype on 6-month timeline
R P Era
August 2018 - August 2023
India
- Built and managed internal data pipelines using Python and Shell to automate inventory tracking and sales reporting across multiple e-commerce channels
- Troubleshot legacy backend systems and database inconsistencies by analyzing error logs and writing SQL/Python patch scripts
- Drove product growth by 30% YoY through data-informed decision-making and process automation
Key Projects
Agentic AI system using CrewAI and LangChain to parse simulation logs, identify anomalies, and summarize performance metrics with RAG pipeline (FAISS).
Impact: Reduced manual review time by 75%
Multi-agent platform using CrewAI and GPT-4o where autonomous agents collaborate for real-time evaluation of business and technology proposals.
Impact: Full-stack AI-powered decision support
Multi-step agentic pipeline for city data extraction: email parsing, web scraping, LLM-based extraction, and structured output generation.
Impact: 1M+ records/week, ~30% accuracy improvement
Hybrid retrieval system combining Neo4j knowledge graphs with Weaviate/FAISS for context-aware multi-hop reasoning.
Impact: ~30% improvement in retrieval relevance
Planned and executed migration of legacy NoSQL database to PostgreSQL. Created validation scripts ensuring 100% data fidelity for 1M+ JSON documents.
Python-based automation tool to parse backend server logs and identify error patterns with real-time Slack alerts for pipeline latency issues.
Education
California State University, East Bay
2017 - 2019
GPA: 3.9
Data Science track with focus on statistical modeling, machine learning, and applied analytics.
Awards
3rd Prize — MCP x A2A Hackathon
Built multimodal autonomous agent system for complex task automation