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dakshagarwal76/README.md

Daksh Agarwal

Building AI that thinks carefully and ships cleanly.

Machine learning engineer & researcher working on agents, RAG, computer vision, and evaluation pipelines.

LinkedIn Scholar Email


About me

Dual-degree AI student (B.Tech AI & ML @ GGSIPU · B.S. AI & Data Science @ IIT Madras).

Currently:

  • ML Intern at Peakflo (YC W22) — LLM agents for enterprise finance
  • Research Associate at NYU — RAG benchmarks & multi-LLM pipelines

Published at ACM ASIACCS (A) and MDPI Electronics (Q2) · ML Lead at Google Developer Group · Delhi / Remote


Featured repositories

Project Focus
01 nasa-cmapps NASA C-MAPSS RUL — 13 ML / DL / graph models on FD001–FD004
02 agentic-customnerd Agentic / expertise-based question answering
03 cloudnerd-benchmark RAG & agent evaluation benchmarks
04 gated-mm-tsf Multimodal time-series forecasting
05 avatargen AI avatar & synthetic voice MVP

What I work on

LLM Agents & RAG          Predictive Maintenance       Computer Vision
Evaluation / Benchmarks   Responsible AI               MLOps & Cloud

Python PyTorch sklearn XGBoost LangChain Transformers YOLO Azure FastAPI


Publications

  • DECKER — Domain-invariant Embedding for Cross-Keyboard Extraction and Recognition · ACM ASIACCS 2026 (A ranking)
  • CustomNerd — Framework for production-ready expertise-based QA · MDPI Electronics 2026 (Q2)

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Open to research collaborations, ML internships, and agentic systems work.

Portfolio · LinkedIn · Email

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  1. electrical-grid-predictor electrical-grid-predictor Public

    Jupyter Notebook

  2. Uni-portal Uni-portal Public

    TypeScript