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Jyotirmoy Singh

@jyotirmoysingh

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Computer science student and ML engineer building efficient AI systems and scalable cloud test frameworks.

India

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What I'm looking for

I seek roles building production-ready ML systems or research-driven ML products, in teams valuing deployable, interpretable models and scalable cloud infrastructure, copywriting. Also open to work in something new and exciting!

I am a computer science undergraduate with hands-on experience in machine learning, systems engineering, and cloud infrastructure, focused on building efficient, interpretable, and deployable AI solutions.

At Google Cloud I engineered integration tests for Backup for GKE using Go, gRPC, and GCP, raising scheduler test coverage from 0% to 42% and uncovering 27+ critical bugs.

I have applied neural networks and Explainable Boosting Machines to climate and healthcare problems, improving prediction accuracy and transparency, and authored research on federated anomaly detection and predictive healthcare.

I lead a research collaboration on compact small language models, optimizing architecture and cost—achieving meaningful reductions in training cost and infrastructure needs—while participating in the OpenAI Emerging Talent Community and serving as a machine learning teaching assistant.

Experience

Work history, roles, and key accomplishments

Current

Research Intern

Current

Impactsure

Aug 2024 - Present (1 year 10 months)

Leading a BITS–Impactsure research collaboration to build compact small language models from scratch, supervising a 4-member team and achieving ~20% reduction in training cost and 30% lower infrastructure needs via novel architectures.

PyTorch Cost Optimization Distributed Training Performance Tuning

Software Engineering Intern

Google

May 2025 - Aug 2025 (3 months)

Engineered and implemented an integration test suite for 7 asynchronous schedulers in Google Cloud Backup for GKE, raising scheduler test coverage from 0% to 42% and uncovering 27+ critical bugs, accelerating delivery by 3 weeks.

Go gRPC GCP Integration Testing Test Automation Distributed Systems API Clients CI CD

Machine Learning Intern

North Eastern Space Applications Centre

May 2023 - Jul 2023 (2 months)

Built neural networks and Explainable Boosting Machine models on 30+ years of satellite and climate data for rainfall classification and prediction in NE India, improving predictive performance by 10–15%.

Python Neural Networks Explainable Boosting Machines Time Series SHAP Model Evaluation data preprocessing

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University

Computer Science

2025 -

Activities and societies: Undergraduate thesis: AI Agents.

Attending as part of a Fall 2025 program and conducting an undergraduate thesis on AI agents.

Birla Institute of Technology and Science, Pilani, Hyderabad Campus

BE (Hons.) Computer Science; MSc (Hons.) Economics, Computer Science; Economics

2021 -

Activities and societies: Relevant courses: Data Structures & Algorithms, Machine Learning, Foundations of Data Science, Generative AI, Design & Analysis of Algorithms, Probability & Statistics, Linear Algebra & Differential Equations.

Pursuing integrated BE (Hons.) Computer Science and MSc (Hons.) Economics with coursework in algorithms, machine learning, data science foundations, probability & statistics, and linear algebra.