Open to new opportunities · San Francisco Bay Area

About Me

Applied AI Engineer · RAG, Agents & AI Evaluation

Applied AI Engineer with an M.S. in Statistics who builds production retrieval and agent systems and the evaluation infrastructure that keeps them honest.

At OpGov.ai, I built an evidence-grounded RAG and knowledge-graph platform over ~1,600 civic meetings, with claim-level citation validation, abstention on insufficient evidence, and a versioned evaluation harness covering retrieval, grounding, attribution, conversation and security behavior. I also built a canonical public-record data platform spanning 1.7M+ profiles.

I'm strongest at the intersection of retrieval, evaluation, and real-world product execution — turning ambiguity into production software. Below the API layer, I work on GPU memory, quantization and local inference performance. Previously built software for an AI-powered hardware product, taught statistics at CSU East Bay, and founded an engineering and 3D-printing services business.

I hold a Master's in Statistics (Data Science) from CSU East Bay (GPA 3.9, Heebok Park Scholar) and a B.E. in Mechanical Engineering from University of Mumbai. Winner of 3rd Prize at the MCP × A2A Hackathon for a multimodal autonomous agent system.

Core Skills

AI / Retrieval
RAG
KG-RAG
Hybrid Retrieval
BM25
Dense Retrieval
Reciprocal Rank Fusion
CrossEncoder Reranking
Knowledge Graphs
Neo4j
Entity Resolution
Weaviate
FAISS
Prompt Engineering
Evaluation & Reliability
LLM Evaluation
Golden Datasets
Hard Negatives
Recall@K
MRR
Grounding Evaluation
Citation Coverage
Abstention Evaluation
Guardrails
Prompt-Injection Defense
OpenTelemetry
Langfuse
Statistical Inference
Systems & Engineering
Python
FastAPI & Flask
REST APIs
Pydantic
Docker & CI/CD
Azure Container Apps
React
Next.js
TypeScript
GitHub Actions
Data & ML Systems
MongoDB
PostgreSQL
ETL
Identity Resolution
Geospatial (GeoJSON)
PyTorch
Quantization
LoRA / QLoRA / PEFT
CUDA
GPU Profiling
Inference Benchmarking

Languages

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

Currently Exploring

Production LLM systems
Retrieval quality & RAG
AI evaluation
Observability
Local LLM inference
GPU memory & quantization
Scalable backend design
Full-stack AI products

Experience & Education

WorkStartup / FoundingEducation
1

Founding AI Engineer

OpGov.ai — AI Engineer → Founding AI Engineer (Aug 2025)

Jan 2025 – Present
  • ▸Built an evidence-grounded RAG and knowledge-graph system over ~1,600 civic meetings, combining BM25, dense retrieval and Neo4j graph traversal through Reciprocal Rank Fusion, CrossEncoder reranking and parent-context expansion
  • ▸Implemented constrained generation with deterministic claim and citation validation, rejecting unsupported factual claims and invented citations before they reach a user
  • ▸Developed a versioned evaluation harness measuring Recall@5/10, MRR, meeting and speaker attribution accuracy, citation coverage and correctness, abstention behavior and prompt-injection resistance
  • ▸Engineered a canonical MongoDB platform unifying 1.7M+ public-record profiles and ~4M historical participation records from incompatible county schemas
  • ▸Reconciled a 734,457-record snapshot using typed identifiers and demographic matching, surfacing 20,060 new profiles while isolating a single ambiguous identity for review rather than forcing an incorrect merge
  • ▸Added layered guardrails against prompt injection and untrusted retrieved content, with authenticated persistent chat sessions and full request tracing
Python
FastAPI
MongoDB
Neo4j
Weaviate
FAISS
Gemini
Docker
Azure
OpenTelemetry
Langfuse
2

Teaching Associate — Statistics

California State University – East Bay

Aug 2024 – Dec 2024
  • ▸Taught probability, statistical inference, hypothesis testing and sampling to a cohort of 22 students through structured lessons and applied examples
  • ▸Designed lectures, exercises and assessments connecting statistical concepts to real analytical questions
  • ▸Explained quantitative methods to students with varied mathematical backgrounds, strengthening communication with non-specialist audiences
Statistics
Probability
Hypothesis Testing
Python
3

ML Engineer / Full-Stack Engineer

Petpin AI

Feb 2024 – Aug 2024
  • ▸Developed Python pipelines for real-time ingestion, preprocessing, TensorFlow Lite inference and API communication under device memory, battery and latency constraints
  • ▸Built React dashboards visualizing live telemetry, behavioral signals, device health and model outputs from connected hardware
  • ▸Connected on-device inference to backend services and user-facing interfaces, creating an end-to-end path from raw sensor data to interpretable product information
  • ▸Created monitoring and diagnostic tooling that helped hardware, software and product teams investigate field issues
Python
TensorFlow Lite
React
FastAPI
AWS
4

Founder & Technical Lead

R P Era

Aug 2018 – Aug 2023
  • ▸Founded and ran an engineering and 3D-printing services business, delivering 100+ customer projects across engineering and dental applications from discovery through acceptance
  • ▸Translated vague customer requirements into technical specifications, material decisions, production plans, estimates and finished components
  • ▸Built a Python and Flask order-management system covering quotations, job tickets, inventory, invoicing, production status and delivery workflows
  • ▸Automated repetitive CAD-file preparation for laser engraving and 3D-printing workflows, reducing manual handling and preventable production errors
  • ▸Built customer-facing websites, digital catalogs and upload/estimation tools supporting service discovery and faster project scoping
Python
Flask
SQL
CAD Automation
3D Printing
5

M.S. Statistics — Data Science Concentration

California State University – East Bay

2023 – 2025
  • ▸GPA: 3.9 — recipient of the Heebok Park Scholarship
  • ▸Data Science concentration: statistical modeling, machine learning and applied analytics
  • ▸Teaching Associate for undergraduate statistics while completing graduate studies
Statistical Modeling
Machine Learning
Python
R
6

B.E. Mechanical Engineering

University of Mumbai

2014 – 2018
  • ▸Bachelor of Engineering in Mechanical Engineering
Mechanical Engineering
CAD/CAM