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Garv Jain

Garv Jain

AI/ML Research Assistant

Talent
PhiladelphiaMember since October 30, 2026
Full Stack DeveloperBackend EngineeringReactNode.jsExpress.jsPython & FastAPIAI/ML EnthusiastC++PythonJavaJavaScriptSQLFastAPIREST APIsMachine LearningDeep LearningReinforcement LearningPyTorchTensorFlowLLVMMLIRPostgreSQLMongoDBDockerJenkinsCI/CDGoogle CloudTesting
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Full Stack DeveloperBackend EngineeringReactNode.jsExpress.js

About

Computer Science undergraduate with experience spanning backend engineering, AI/ML research, systems programming, and full-stack development. Hands-on with Python, C++, JavaScript, REST APIs, machine learning workflows, compiler/IR tooling, and database-backed applications. Comfortable across the software development lifecycle—from problem analysis and implementation to testing, optimization, and technical documentation.

Experience

AI/ML Research Assistant - Indian Institute of Technology - Indore, MP

(2025-05 - 2025-07)

  • Designed and evaluated Deep Reinforcement Learning pipelines, including Soft Actor-Critic, for RIS-aided MISO systems.
  • Reported 15–20% robustness improvement under impulsive and Gaussian noise compared with baseline policies.
  • Built experimental workflows for dataset generation, feature engineering, and hyperparameter optimization; ran 200+ large-scale training experiments on GPU clusters.
  • Reduced model convergence time by 30% through training-schedule optimization, reward shaping, and parallelized PyTorch/TensorFlow experiments.
  • Co-authored a research manuscript with PhD researchers, contributing system modeling, experimental analysis, and result interpretation.

Backend Software Developer Intern - Code Inbound LLP

(2024-02 - 2024-08)

  • Developed and deployed 20+ RESTful APIs using Node.js and Express.js, improving request latency by 25% through query optimization and middleware design.
  • Designed PostgreSQL and MongoDB schemas, reducing redundant queries and improving retrieval performance by 30%+ across production services.
  • Implemented automated testing with Jest, Mocha, Chai, and Supertest, increasing backend test coverage from 60% to 90%.
  • Containerized services with Docker and integrated CI/CD pipelines using Jenkins and Postman, reducing deployment time by 40%.

Education

B.Tech - Computer Science and Engineering - Indian Institute of Information Technology, Pune (2023 - 2027)

B.Tech in Artificial Intelligence (Honours) - Artificial Intelligence - Indian Institute of Information Technology, Pune (2025 - 2026)

Skills

AI/ML Research Assistant

Reviews

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