Strategy & Vision

Nishchay Mahor

I build AI systems that move metrics. Strategy meets engineering.

Too busy shipping to take a photo.

Will fix soon ;)

I specialize in taking AI from concept to production — the part most teams struggle with. My work spans retrieval systems, multi-agent architectures, and ML pipelines that run reliably at scale. I've shipped systems across market research, healthcare, finance, and compliance — each with measurable business outcomes attached. At ContextJet, I lead strategy and technical direction, working closely with clients to identify high-leverage problems and designing systems that solve them elegantly.

The best AI isn't the most complex — it's the most effective. Complex is easy. Effective is rare.

Highlights

M.S. Data Science, UC San Diego
$500K+ in AI product revenue
Keynote Speaker, MLDS 2024
Ex-C5i.ai, Data Scientist
Based in San Diego, CA
Never stop learning

Expertise

01

Revenue-Generating AI

Products that move business metrics, not just impress in demos. Every project I touch has a number attached.

02

LLM Systems & Agents

Multi-agent pipelines, tool-calling architectures, and prompt optimization that actually works at scale.

03

Retrieval & GraphRAG

Knowledge-aware systems over internal data. Auditable, fast, and accurate enough to trust.

Selected Work

Knowledge GraphRAG Platform
01

Knowledge GraphRAG Platform

LangGraph architecture, vector DB, deployment

Entity-linked graph over documents for import/export compliance workflows. +87% answer precision, –45% research time. Auditable citations and faster handoffs. Salesforce integration.

Multimodal Synthetic Market Surveys
02

Multimodal Synthetic Market Surveys

Architecture, multi-agent pipelines, Azure deployment

Built a framework to synthesize real-time respondent data for text and image studies with ~90% accuracy vs live benchmarks (MAPE < 10% across Likert items). Generated over $300K in revenue. Replaced traditional survey panels costing 10x more.

AI Sales Development Representative
03

AI Sales Development Representative

LangChain agents, Pydantic workflows, React UI

Automated prospecting, enrichment, personalization, outreach, and reply handling for a Wall Street brand targeting PE/hedge funds/family offices. +35% qualified meetings, –60% manual prospecting, 200–300 targeted leads/week.

04

Virtual Try-On Assistant

Full system design, ML pipeline, RAG integration

Developed an LLM-based virtual try-on system for a leading clothing brand using diffusion models (StableVITON) and LangGraph for product/size chat. Drove +25% time on page, +18% CTR. CV pipeline with MediaPipe and RAG over product catalog.

05

Last-Mile Delivery Optimization

Graph modeling, API design, optimization

Built a Neo4j/Cypher knowledge graph for routes, hubs, and SLAs. Improved on-time delivery +8%, reduced route time –12%, faster exception resolution. APIs exposed via FastAPI.

06

Predictive Maintenance + RAG for Planners

ML models, LangGraph, Databricks deployment

Anomaly detection on vibration/temperature for industrial conveyors combined with RAG and forecasting for planners. Reduced unplanned maintenance –15%, planning cycle –30%.

Hackathon Products

I like to build in hackathons and challenges too..

2024

AWS Breaking Barriers Hackathon

StepWise

Digital Inclusion Copilot — agentic workflows that adapt to cognitive and physical abilities, making AI accessible to everyone.

2024

HackAI Dell/NVIDIA

DocuGuard AI

Enterprise Document Risk Copilot — RAG-powered compliance scanning that catches what humans miss in contracts and policies.

2026

UCSD SMASH NSF HDR

NeuroForecast AI

Neural forecasting with out-of-distribution generalization — predicting the unpredictable with uncertainty quantification.

2023

Build for Africa

SwiftRemit

AI-assisted cross-border payments via Lightning Network — making remittances instant and nearly free for underbanked populations.

2023

Smart India Hackathon

NyayaVault AI

Blockchain + AI legal record vault — tamper-proof case management with intelligent retrieval for India's judiciary.

2023

Kaggle M5 Forecasting

DemandPilot AI

Retail demand forecasting with hierarchical uncertainty — knowing not just what will sell, but how confident to be.

2022

NASA Space Apps Challenge

OrbitalLens

3D ISS visual intelligence with AI explain mode — making space station data accessible to researchers worldwide.

2022

ActInSpace

DeepRelay AI

Space communications reliability planner — optimizing deep space relay networks for mission-critical data transmission.

9

Products Built

5

Countries

2022–26

Active Years

Recognition

Star Innovator & Buildathon wins at C5i.ai (2023, 2024)
Rookie of the Year, C5i.ai 2023
Keynote Speaker at Machine Learning Developers Summit 2024
Published in Lattice Journal (AoDS) and IJRDO
Runner-up, Techniche Hackathon, IIT Guwahati

Currently

  • Building client-facing agent workflows at ContextJet
  • MS coursework at UC San Diego
  • Experimenting with retrieval evals and guardrails
  • Writing about production AI systems
  • San Diego, CA

Want to work together?

Reach out through ContextJet or connect directly.