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Pathikreet Chowdhury

I'm a

Building AI systems at the intersection of research and production.

View My Work
Pathikreet Chowdhury
Pathikreet Chowdhury

About Me

ML Researcher & Engineer

As a postgraduate CSE engineer, I build production-grade AI systems that bridge research and real-world impact. I love to build code, research, and understand systems across the entire stack—doing everything from Frontend (FE) and Backend (BE) to Infrastructure and ML. My work spans LLMs, federated learning, computer vision, and large-scale data engineering, with deployments at companies like Flipkart and Siemens. I'm also the Founder & CEO of Artemis Pvt Ltd, building GenAI-powered safety solutions.

This portfolio is a reflection of my life—both professional and personal. When I'm not coding, you'll find me on the football field playing as a winger or centre forward, cheering for FC Barcelona, or competing as an international chess player. I'm also a proud cat parent to my cat, Jim Beam!

3 Publications
4 Companies
5+ Major Projects
Connect on LinkedIn

Work Experience

Industry

Data Engineer

Flipkart (Cleartrip) Bangalore
  • Architected scalable ETL pipelines with Apache Spark processing 200+ TB of travel data; improved pipeline execution efficiency by 30%
  • Advanced BigQuery optimizations — partitioning & clustering — achieved 25% cost reduction and 2× faster query performance
  • Reduced end-to-end data ingestion latency by 40%, enabling near real-time decision-making for Cleartrip's booking engine
Apache Spark BigQuery GCP Azkaban ETL
Research

Research Engineer

Siemens AI Bangalore · Foundational Technology Research
  • Integrated Physics-Informed Neural Networks (PINNs) with Symbolic Regression; reduced outliers by 52% on industrial datasets
  • Optimized Multi-Agent Symbolic Regression with LLMs in the loop; achieved 12% inference time reduction with improved accuracy
  • Developed Neuro-Symbolic Agents combining NSR with GenAI for molecular optimization and enhanced hypothesis generation
PINNs LLMs Symbolic Regression GenAI
Industry

Machine Learning Engineer

Matrice.ai Inc.
  • Integrated foundation models (SAM, GroundingDINO, CLIP, YOLO World) for video analysis with 30% accuracy improvement
  • Key contributor to the official Matrice Python package on PyPI; designed core architecture and reduced onboarding time by 45%
  • Developed custom CV solutions including gas station monitoring with multi-object tracking and hotel room similarity assessment
Computer Vision SAM YOLO World PyPI
Research

SURGE Researcher

IIT Kanpur Under Dr. Vipul Arora
  • Implemented Controllable Neural Symbolic Regression achieving 78% accuracy on a dataset of 230M equations
  • Adaptive Refiner-Based few-shot font generation with Monotype Inc.; reduced generation time by 40% while maintaining quality
  • Solved mode collapse in generative models with Normalizing Flows (RealNVP) and FAB; achieved 72.5% replication score
Neural Symbolic Regression Normalizing Flows Generative Models
Data Engineer Flipkart (Cleartrip)
Research Engineer Siemens AI
ML Engineer Matrice.ai Inc.
SURGE Researcher IIT Kanpur
01 / 04

Research & Publications

ACCM 2026 · Under Review

LAST: Lightweight Adaptive-Shift Transformer for Real-Time Human Activity Recognition

Advisor: Dr. Gargi Srivastava

  • "More with Less" HAR architecture — shifts from dense video to sparse skeletal representations, achieving SOTA on edge devices
  • Developed Adaptive Graph Convolutions (A-GCN) + Temporal Shift Modules (TSM) with O(N) linear attention and Knowledge Distillation via VideoMAE V2
View on GitHub
ICPR 2024 · Published

Brain Tumor Classification & Segmentation using Custom CNN and U-Net with XAI

Advisor: Dr. Gargi Srivastava

  • Custom CNN and U-Net for MRI diagnostics achieving 99.6% accuracy; introduced novel metrics quantifying LIME-based explanations for neuro-oncology
  • Fused Grad-CAM visualizations with interpretability scores, reducing false-positive rates in automated tumor detection
View on GitHub
ICIT 2025 · Published

Federated Learning Framework for Privacy-Preserving Face & Activity Recognition

Advisor: Dr. Gargi Srivastava

  • FL architecture with adaptive aggregation; 65% bandwidth reduction via model pruning & quantization for decentralized surveillance networks
  • Differential privacy + adversarial feature disentanglement ensuring robust resistance against membership inference attacks
View on GitHub
Research Project

An Efficient Machine Intelligence Framework for Detection of Heart Arrhythmia Disease using Cleveland Heart Dataset

Advisor: Late Dr. Rahul Kumar

  • Evaluated and integrated an ensemble of ML models after applying PCA and RFE, achieving 98.6% accuracy on test data.
BTP 2023

GestureCraft: A Novel Approach to ASL Sign Language Detection using CNN, LSTM and MediaPipe

Advisor: Dr. Nirbhay Kumar

  • Designed an efficient ASL detection system using Innovative Dataset Capture Techniques, achieving 98% accuracy.
BTP 2024

Efficient In-Painting Using an Ensemble of DDPMs and GANs on Kaggle Little Images Dataset

Advisor: Dr. Nirbhay Kumar

  • Enhanced image restoration quality by 22% and minimized in-painting time by 30% using an ensemble of DDPMs and GANs.
Ongoing

Integrated Agentic Architecture with XAI for 3D Medical Scans Detection and Segmentation using BRaTS and LiTS

Advisor: Dr. Gargi Srivastava

  • Improved 3D medical scan segmentation speed and real-time inference by 25% with UNET++ and LLMs, enhancing transparency with XAI.
LAST: HAR Transformer ACCM 2026
Brain Tumor XAI ICPR 2024
FL Face & Activity ICIT 2025
Heart Arrhythmia Detection Research Project
GestureCraft ASL BTP 2023
In-Painting: DDPMs + GANs BTP 2024
3D Medical Scan XAI Ongoing
01 / 07

Patent Grant

Granted · Nov 8, 2025 2025E09468 IN

Automated Physically Informed Neural Network Enhanced by Symbolic Regression and LLMs with Balanced Loss Optimization

  • Invented a novel neuro-symbolic architecture integrating PINNs, Symbolic Regression, and LLMs for enhanced physical system modeling
  • Engineered a Balanced Loss Optimization strategy to efficiently unify physical constraints and data-driven accuracy across complex dynamical systems
PINNs Symbolic Regression LLMs Neuro-Symbolic AI Loss Optimization

Featured Projects

ML & AI

Eir

End-to-end Federated Learning healthcare platform with advanced RAG pipelines; LoRA-optimized SLMs achieving 45% faster training with HIPAA compliance and 3.2× faster inference on edge devices.

TensorFlow PyTorch LangChain LoRA CrewAI
View on GitHub
ML & AI

LegalVoice.ai

Multilingual voice-to-text legal assistant supporting 8 regional languages at 92% accuracy; QLoRA fine-tuning and AutoGen agentic workflows reduced document processing time by 73%.

Whisper AutoGen QLoRA React RAG
View on GitHub
ML & AI Full Stack

Artemis

GenAI women safety application with real-time threat detection at 96% accuracy and Graph RAG navigation generating routes with 85% fewer high-risk areas. Now an active funded startup.

LangGraph React Native WebRTC Whisper
View on GitHub
ML & AI

TransformoDocs

Machine-readable document converter with HyDE-based RAG pipelines; achieved 70% storage reduction and 36% conversion efficiency improvement via MLOps and agentic workflow optimization.

CrewAI MLFlow LangChain Streamlit
View on GitHub
ML & AI

MoleculeForge

End-to-end molecular generation pipeline using fine-tuned Gemini models; reduced drug discovery time by 58% and achieved 76% higher validation success rate with self-reflective RAG on the ZINC dataset.

Gemini VAE GCNs RDKit AutoGen
View on GitHub
Full Stack

NeuraTradePro

Sophisticated algorithmic trading platform leveraging neural networks and diverse technical indicators for cryptocurrency and financial market decision-making — end-to-end full stack application.

Neural Networks React Python Trading APIs
View on GitHub
Eir Federated Learning
LegalVoice.ai Multilingual Legal AI
Artemis GenAI Safety Startup
TransformoDocs HyDE RAG Pipelines
MoleculeForge Molecular Generation
NeuraTradePro Algo Trading Platform
01 / 06
View All on GitHub

What I'm Building

In Progress

Chef.ai

AI cooking assistant that turns a photo of your fridge into a full meal plan

Scan your ingredients, pick a cooking mode — from "just survive" to "chef mode" — and get complete meals with drink pairings, freshness flags for ingredients expiring today, and step-by-step cooking guidance. A conversational chef (ChefGPT) adapts to your dietary preferences and skill level, remembers context across sessions, and responds naturally in whatever language you're cooking in.

Next.js 14 FastAPI LangGraph YOLO Gemini 2.0 Flash pgvector Redis

Fridge-to-Meal Vision

YOLO + Gemini Vision identifies ingredients from a single fridge photo

ChefGPT — 3 Modes

Q&A, step-by-step cooking, and autonomous agent — Redis cross-session memory

Live Meal Planner

Streams a full week's plan day-by-day via SSE + WebSocket chat

6-Node LangGraph Pipeline

Parallel pgvector search + live AI generation → LLM ranker → enhancement node

Active Startup

Artemis

Voice-first personal safety intelligence platform — your phone as an AI bodyguard

Built for urban India — real-time threat awareness via a live incident heatmap, route scoring against actual crime data, and a full SOS protocol that broadcasts live GPS to trusted contacts every 10 seconds, shares location via WhatsApp, and connects to emergency services. Tribes lets private groups share live location in real time. Phase 3 adds a voice AI agent for hands-free SOS and route guidance.

React Native TypeScript Supabase LangGraph Gemini Google Directions API FastAPI

Live Safety Heatmap

Weighted incident density with age decay (1.0→0.15 / 30 days) and time-of-day factor

Smart Route Scoring

SAFEST / FASTEST / BALANCED via λ-cost function over Google Directions API

SOS Engine

GPS polled every 10s, live broadcast + WhatsApp share + ETA-based trip check-in

Tribes

Private safety groups with Supabase Realtime + row-level security isolation

Chef.ai In Progress
Artemis Active Startup
01 / 02

Technical Skills

Languages

Python C/C++ JavaScript TypeScript Java SQL HTML5 CSS3

AI & ML

PyTorch TensorFlow LLM Optimization LoRA / QLoRA Hugging Face LangChain CrewAI Agentic RAG OpenCV LangSmith

Data Eng & Cloud

Apache Spark BigQuery GCP ETL Pipelines MLOps Docker AWS SageMaker MCP Servers Azkaban

Dev & Tools

React Node.js FastAPI Flask MongoDB WebRTC PowerBI Git
Languages Python · C++ · JS · TS
AI & ML PyTorch · LangChain · RAG
Data Eng & Cloud Spark · BigQuery · GCP
Dev & Tools React · FastAPI · Node.js
01 / 04

Leadership & Impact

Team Lead

Smart India Hackathon · 2023, 2024, 2025

Led multi-disciplinary teams for 3 consecutive years developing AI-driven solutions for national challenges — overseeing technical architecture, rapid prototyping, and final deployment.

Founder & CEO

Artemis Pvt Ltd · Startup Operations

Directing a 12-member team to build GenAI safety solutions; managing the full product lifecycle and investor relations while scaling the MVP into a production-ready business model.

Technical Head

E-CELL · Campus Entrepreneurship Cell

Leading a 20+ member tech team to automate summit registrations and optimize web infrastructure; improved digital engagement and turnout for national-level flagship events.

Team Lead Smart India Hackathon
Founder & CEO Artemis Pvt Ltd
Technical Head E-CELL
01 / 03

Hackathon Achievements

Top 100 of 75,000 Teams

AP Clerk — Financial Multi-Agent RL System

Meta PyTorch OpenEnv × Scaler Hackathon

Built AP Clerk — an LLM-powered AP Clerk agent handling enterprise Accounts Payable workflows via GRPO (Group Relative Policy Optimization). Trained Qwen2.5 using a live FastAPI reward server across 24 synthetic financial tasks including duplicate invoice detection, policy violation escalation, and PO/GRN reasoning.

94.9%Format Accuracy
0.72Mean Reward
24Financial Tasks
GRPO Qwen2.5 FastAPI Multi-Agent RL TRL Hugging Face
View on GitHub
National Finalist Smart India Hackathon 2024

TransformoDocs — Agentic Document Intelligence

SIH 2024 · National Level

Built TransformoDocs — a machine-readable document converter with HyDE-based RAG pipelines and agentic MLOps workflows. Competed against thousands of teams across India and reached the national finals, presenting to an expert judging panel.

70%Storage Reduction
36%Efficiency Gain
NationalFinals
CrewAI LangChain HyDE RAG MLFlow Streamlit
AP Clerk Agent Meta × Scaler Top 100
TransformoDocs SIH 2024 National Finalist
01 / 02

Let's Build Something Together

Open to research collaborations, ML engineering roles, and startup partnerships. Drop me a message — I'd love to hear from you.