Harshit Agrawal
Data Scientist 2
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolHarshit Agrawal is a Data Scientist 2 based in Bengaluru with 11 years of experience specializing in GenAI, deep learning and deep reinforcement learning, currently building production ML at Amazon. He has led AI, analytics and data engineering teams, fine-tuned LLMs for game AI, deployed RAG pipelines and embedding-based systems, and built recommendation and RL-driven bot solutions while keeping infrastructure cost-effective on AWS. His background blends rigorous research—three journal publications and 85+ citations—with hands-on product delivery across startups and research institutes, bridging learning sciences and industrial logistics. Known for translating raw data into actionable insights, he mentors junior researchers and collaborates closely with design, product and marketing teams to turn models into measurable business impact. A mechanical engineering undergrad turned modeling-and-simulation MTech, he brings uncommon cross-disciplinary depth that helps him work fluently with domain experts to craft statistically principled computational models.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology RoorkeeMaster of Technology - MTech, Modelling and Simulation, Master of Technology - MTech, Modelling and Simulation at Centre for Modeling and Simulation, Savitribai Phule Pune UniversityH.P.Children's AcademyThe Pillar's Public School
English, Hindi
Github Skills (5)
polarization8
modeling6
python5
machine-learning4
deep-learning4
Programming languages (2)
Github contributions (5)
HarshuCogSci/explorables
Jan 2018 - Jun 2020
Fun little dynamic and manipulable visualizations for STEM
Contributions:1 PR, 26 pushes, 1 branch in 2 years 4 months
stemvisualizationsinterfacesflow-based-programmingvisualization
L-ashwin/modeling-social-networks
Sep 2020 - Dec 2020
Modeling Polarization in Social Networks
Contributions:10 commits, 1 push in 2 months
pythondeep-learningmachine-learningpolarizationmodeling
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