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Abhishek DhakaAD
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Abhishek Dhaka

@abhishekdhaka1

Machine Learning Engineer at Qualcomm; built an agentic build platform used company-wide.

United States
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At Qualcomm, I built an agentic build-automation platform on LangGraph that turns plain-English requests into build configurations and test cycles. I added Graph RAG memory and SQL-backed monitoring, and exposed more than 80 build tools through an MCP server released company-wide.

At PICASSO Lab, UC San Diego, I extended VeRL for multi-tenant LoRA training and fixed a CUDA crash that restored generation speed. In my projects, I wrote CUDA kernels that cut Qwen3-VL image preprocessing to under 2 ms and built an incident-investigation agent whose benchmark completion rose from 31% to 94%.

Experience

Work history, roles, and key accomplishments

PD

Machine Learning Research Intern

PICASSO Lab, UC San Diego

Apr 2026 - Jun 2026 (2 months)

Extended VeRL for multi-tenant LoRA training on a shared frozen base, fixed a CUDA illegal-memory-access crash, and root-caused a weight-sync slowdown.

NR

Machine Learning Intern

Noccarc Robotics

Feb 2025 - Jun 2025 (4 months)

Aligned Kafka streams into a Flask/SQLite/Plotly annotation tool and trained a 1D CNN on simulated ventilator waveforms to estimate lung compliance with 96% accuracy.

Indian Institute of Technology (IIT) Guwahati logoIG

Machine Learning Intern

Indian Institute of Technology (IIT) Guwahati

Jun 2024 - Jan 2025 (7 months)

Co-developed Alignment Adapter, realigning compressed model embeddings to a larger reference model, achieving BERT-base accuracy at 54% size and 2x speed.

Education

Degrees, certifications, and relevant coursework

University of California, San Diego logoUD

University of California, San Diego

Master of Science, Computer Science

Grade: 4.0/4.0

Pursuing a Master of Science in Computer Science with a 4.0 GPA, expected to graduate in December 2026.

BT

B.K. Birla Institute of Engineering & Technology

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Grade: 9.2/10

Completed a Bachelor of Technology in Computer Science and Engineering with a GPA of 9.2/10.

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