Soumya Chatterjee

AI Researcher

Seattle, Washington, United States4 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Natural Language Processing and Machine Learning.
Strong academic background from Stanford and IIT Bombay.
Proven track record in AI research and industry projects.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI and Natural Language Processing.

Contact

soumyac@stanford.edu LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine TranslationMl SystemsInformation RetrievalMachine LearningComputer Vision

Other Skills

AlgorithmsApache BeamArtificial Intelligence (AI)BashBazelC (Programming Language)CUDAConvolutional Neural Networks (CNN)Deep LearningGenerative AIGitGoogle Cloud Platform (GCP)JavaJavaScriptKeras

About

I am a MLE at Apple working on Siri and Spotlight Search. I did my master's in Computer Science from Stanford University and my undergraduate studies at IIT Bombay. Previously, I was an MLE Intern at Apple and an AI Resident at Google Research. I have strong industry and research experience in various areas of Natural Language Processing including Question Answering, Information Retrieval and Machine Translation. I am also interested in ML systems.

Experience

Apple

2 roles

Machine Learning Engineer

Jul 2024 – Present · 1 yr 8 mos · Seattle, Washington, United States

Agents for Search

Machine Learning Engineering Intern

Jun 2023 – Sep 2023 · 3 mos · Cupertino, California, United States · On-site

Worked on enabling existing translation models to correctly translate unseen terms without human intervention
Designed prompts to generate sentences with the target term and their translations using large language models (LLMs)
Used parameter efficient finetuning methods like LoRA to obtain 95+% term translation accuracy without drop in chrF

Large Language Models (LLM)Machine TranslationMLOps

Stanford university

2 roles

Teaching Assistant

Sep 2023 – Jun 2024 · 9 mos · Stanford, California, United States

Teaching Assistant for CS 224N - Natural Language Processing with Deep Learning (Spring '24)
Teaching Assistant for CS 224N - Natural Language Processing with Deep Learning (Winter '24)
Teaching Assistant for CS 236 - Deep Generative Models (Fall '23)

Natural Language Processing (NLP)Generative AI

Graduate Researcher

Sep 2022 – Jun 2023 · 9 mos · Stanford, California, United States · On-site

Worked on the following projects:
1. Extending FlexFlow, a framework for hardware-aware ML model training to support graph neural network based models for protein conformation detection
2. Worked on a novel information retrieval setting where data comes from different data distributions, some unseen during training. Designed allocating strategies leading to 8 points higher recall

ML SystemsInformation RetrievalCUDA

Google

AI Resident

Jul 2021 – Sep 2022 · 1 yr 2 mos · Bengaluru, Karnataka, India

Worked on the following projects:
1. Efficient knowledge update in language models by disentangling factual knowledge from language semantics
2. Methods for efficient re-use of pretrained policies for unseen tasks in hierarchical reinforcement learning
3. Modeling adjustments in human behavioral policies over time

Machine LearningTensorFlowPythonNatural Language Processing (NLP)

Indian institute of technology, bombay

Teaching Assistant

Aug 2020 – May 2021 · 9 mos · Mumbai, Maharashtra, India

Teaching assistant for Artificial Intelligence and Machine Learning (CS 337) and Linear Algebra (MA 106) courses

Google

Software Engineering Intern

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka, India

Built sample‑efficient models to replicate human behaviour. Used meta-learning to capture population‑level traits and individual variations.

Machine LearningPyTorch

Awl, inc.

Machine Learning Engineering Intern

Dec 2019 – Jan 2020 · 1 mo · Sapporo, Hokkaido, Japan

Developed a system for detecting people in 360° videos using Faster R‑CNN. Improved detection mAP by 20% at a detection frequency of 20 FPS on a single GPU.

Machine LearningPyTorchComputer VisionObject Detection