Joydeep
Bhattacharjee

Sep 2025 → Present

Adobe

Lead Machine Learning Engineer

• Lead technical development of core GenAI services and APIs integrating generative models on Adobe Firefly
• Architecting and developing enterprise-scale ML workflows for model customization, serving, and ecosystem integration with first-party and third-party generative models
• Building and optimizing GPU-accelerated pipelines for model training and inference using PyTorch, CUDA, Triton, and TensorRT
• Providing hands-on technical leadership — driving architecture decisions, design reviews, and technical standards for high-reliability systems
• Leading team in tackling complex challenges related to diffusion models, transformers, and optimizing inference latency and throughput at scale
• Fostering culture of innovation while mentoring ML engineers in distributed systems, Kubernetes, and GPU resource management

Jul 2022 → Sep 2025

Samsung Semiconductor India R&D

Senior Machine Learning Staff Engineer

• Performance tuning and inference optimisation for state-of-the-art LLM models for in-house NPU architecture using quantization and graph optimization
• Research and implementation of novel RAG + LLM application for breakdown maintenance of semiconductor manufacturing equipment — built from scratch with 96% precision; applied LLM quantization on Llama 3 to reduce response time from 30s to under 10s
• Applied research in Deep Learning for semiconductor manufacturing — improving FAB yield using AI models; conducted 100+ experiments in 2024
• Led and mentored a team of AI researchers; defined technical roadmap and architecture for AI projects
• Handled large datasets and developed data pipelines for model training and testing

Jan 2021 → Jul 2022

Yellow.ai

Engineering Manager — NLP

• Responsible for research, development, production, and scaling of full pipeline of message flow and intelligent NLP systems in multi-lingual and multi-modal contexts
• Led team producing custom algorithms using PyTorch, Hugging Face, and TensorFlow
• Prepared production-ready code with pre/post-processing and native scaling in Kubernetes and on-prem environments
• Responsible for all MLOps and cloud infrastructure management for ML services
• Accountable for client issues, architecture decisions, POCs, hiring, and mentorship

May 2017 → Jan 2021

Nineleaps

Team Lead — ML Platform

Team Lead — Retail Demand Forecasting · May 2019 – Jan 2021

• Designed ML and optimization architectures for inventory forecasting across 40,000 products and thousands of stores
• Deployed and maintained highly available forecasting application; led POCs for new forecasting methods
• Time series analysis of KPIs; assisted business with forecast accuracy reporting
• Built a team from scratch for successful product delivery

Team Lead — Models as a Service for Medical Analytics · May 2017 – May 2019

• Architected and built model-serving infrastructure — auto-scaling cluster of 50+ deep-learning models handling 1M+ prediction requests per day
• Built the model deployment lifecycle from the ground up: versioning, deployment, monitoring, and push-button deployment of ML models
• Built ETL pipelines and querying layer for a public health knowledge graph at 1B+ edges and 200M+ nodes (Neo4j)

Nov 2016 → May 2017

HackerEarth

Category Head — Python

Built the Python practice section for B2C developer engagement, creating content and tooling for a high-engagement coding education platform.

Aug 2015 → Oct 2016

SLK Software

Software Engineer

Software engineering at SLK — building automation tools and developing foundational software engineering instincts.

Dec 2011 → Jul 2015

Tata Consultancy Services

Systems Engineer

Early career in systems engineering at TCS — configuring J2EE applications, building automation tools, and developing foundational software engineering instincts.