Open to new opportunities · San Francisco Bay Area

About Me

Founding AI Engineer · Production LLM Systems · RAG · Search Infrastructure

Founding AI Engineer with 6+ years of experience building production-grade AI systems from 0→1, with a focus on LLM applications, semantic search, RAG pipelines, and backend infrastructure.

At OpGov.ai, I've led the design and deployment of AI systems that transform unstructured civic data into searchable, user-facing products — spanning end-to-end architecture: data ingestion pipelines, vector search, backend APIs, evaluation, deployment, and product iteration. Built systems that improved search relevance by 30%, reduced decision latency by 40%, and scaled ETL pipelines processing 1M+ records per week.

I'm strongest at the intersection of AI systems and real-world product execution — turning ambiguity into production software. Previously built software for AI-powered hardware systems, taught statistics at CSU East Bay, and ran a data-driven engineering business.

I hold a Master's in Statistics (Data Science) from CSU East Bay (GPA 3.95, Heebok Park Scholar) and a B.E. in Mechanical Engineering from University of Mumbai. Winner of 3rd Prize at the MCP × A2A Hackathon and Best Project, 1st Rank at UrFU Summer University 2017.

Core Skills

AI / ML
LLMs (GPT-4o, Gemini, Llama 3)
RAG pipelines
Semantic search
Vector databases
Multi-Agent Systems
CrewAI & LangChain
Agentic workflows
NLP
Computer Vision
TensorFlow Lite
Prompt engineering
Evaluation frameworks
Systems & Engineering
Python
FastAPI & Flask
REST APIs
Docker & CI/CD
Azure Container Apps
APScheduler
Microservices
React
GitHub Actions
TypeScript
Data & Infrastructure
PostgreSQL & SQL
MongoDB
Weaviate
FAISS
Neo4j
ETL pipelines
AWS & Azure
KPI dashboards
gRPC / protobuf
IoT telemetry

Languages

English· Professional
Hindi· Native
Marathi· Native
Gujarati· Native

Currently Exploring

Production LLM systems
Semantic search & RAG
Multi-Agent AI
AI observability
AI cost optimization
Evaluation frameworks
Knowledge graph retrieval
MCP & A2A protocols
Full-stack AI products

Experience & Education

WorkStartup / FoundingEducation
1

Founding Engineer

Open Governance Initiative (OpGov.ai)

Aug 2025 – Present
  • ▸Led product and engineering iteration on an AI-powered civic data platform, increasing user engagement by 15% through experimentation on search and discovery features
  • ▸Built KPI dashboards in SQL and Python that reduced product decision latency by 40% and improved visibility into platform usage
  • ▸Scaled ETL pipelines to process 1M+ records weekly across civic datasets, enabling reliable longitudinal policy analysis
  • ▸Improved semantic search relevance by 30% by refining retrieval quality and aligning ML pipeline behavior with product requirements
  • ▸Partnered cross-functionally with engineering, product, and policy stakeholders to translate ambiguous user needs into measurable improvements
Python
FastAPI
SQL
Vector DBs
LLMs
Azure
Docker
2

AI Engineer & Backend Developer

Open Governance Initiative (OpGov.ai)

Jan 2025 – Aug 2025
  • ▸Built a full-stack AI system for summarization and semantic search over city council transcripts, enabling natural-language querying over large volumes of public meeting data
  • ▸Architected and deployed a containerized Flask API on Azure Container Apps from scratch
  • ▸Designed a dual-vector RAG pipeline using Weaviate (metadata-aware retrieval) and FAISS (high-speed similarity search)
  • ▸Implemented automated ingestion workflows with APScheduler and MongoDB to sync documents into vector DBs without manual intervention
  • ▸Integrated Google Gemini for structured summarization and embedding workflows
  • ▸Built CI/CD automation for Docker build, versioning, and Azure Container Registry push workflows
Python
Flask
Weaviate
FAISS
Google Gemini
MongoDB
Azure
Docker
APScheduler
3

Teaching Associate — Statistics

California State University – East Bay

Aug 2024 – Dec 2024
  • ▸Taught statistics to a cohort of 22 students, improving class average by 15% through structured instruction in probability and hypothesis testing
  • ▸Designed lectures, exercises, and collaborative activities that increased student confidence and participation
  • ▸Delivered weekly assessments and targeted feedback, contributing to a 10% increase in assignment scores and 20% reduction in recurring errors
Statistics
Probability
Hypothesis Testing
R
Python
4

ML Engineer | Full-Stack Engineer

Petpin AI

Feb 2024 – Aug 2024
  • ▸Engineered the software stack for an AI-driven hardware product on a 6-month timeline, bridging edge devices with cloud-connected backend services
  • ▸Built a React dashboard to visualize real-time telemetry and behavioral data streamed from IoT devices
  • ▸Developed optimized Python pipelines for real-time ingestion, TensorFlow Lite inference, and API communication under strict memory and battery constraints
  • ▸Contributed to end-to-end system design across embedded inference, backend integration, and user-facing data visualization
Python
TensorFlow Lite
React
IoT
FastAPI
AWS
Computer Vision
5

Founder & Technical Lead

R P Era

Aug 2018 – Aug 2024
  • ▸Built and scaled a data-driven 3D printing business, achieving 30% year-over-year customer growth through operational optimization and market analysis
  • ▸Analyzed sales, customer, and inventory data to identify high-performing regions and improve profitability by 20%
  • ▸Designed and optimized 100+ engineering and dental components across SLS, DLP, LCD, and FDM workflows, increasing customer satisfaction by 25%
  • ▸Improved operational efficiency by 15% through data-driven inventory management and process improvements
Python
SQL
Data Analysis
3D Printing
SLS
DLP
FDM
6

M.S. Statistics — Data Science

California State University – East Bay

Aug 2023 – Aug 2025
  • ▸GPA: 3.95 — recipient of the Heebok Park Scholarship
  • ▸Data Science concentration: statistical modeling, ML, Bayesian methods, and computational statistics
  • ▸Teaching Associate for undergraduate statistics while completing graduate studies
R
Python
Statistical Modeling
Machine Learning
Bayesian Methods
7

B.E. Mechanical Engineering

University of Mumbai

2014 – 2018
  • ▸Bachelor of Engineering in Mechanical Engineering
  • ▸UG Fellowship at Ural Federal University (2017) — awarded Best Project, 1st Rank Overall
  • ▸Internships at Hyundai Motor India Ltd. (service dept.) and Woodfield Systems International (fabrication & assembly)
Mechanical Engineering
CAD/CAM
Manufacturing
Thermodynamics