001about

About

cs student at Queen's on the AI stream, minoring in economics. i work across applied ML — RAG pipelines at QMIND, computer vision on VisualizeIt, regression models at Acetech — and enjoy the low-level end too, from PID drive-control in C to API plumbing. currently a software developer co-op at Co-operators.

002experience

Experience

  1. May–Aug 2026

    RESTful Prefill API integrations for real-time quote auto-population (AWS Lambda, Lex, Python).

  2. Sep 2025–Apr 2026

    Cognitive RAG system — LangChain agents, hybrid BM25 + dense retrieval, RRF + cross-encoder re-ranking.

  3. May–Aug 2025

    PyTorch MLP regression for lab-test durations — 12% MSE reduction over baseline; automated data-cleaning pipelines.

  4. Oct 2024–Mar 2025

    Low-level drive-control in C/FreeRTOS, PID controllers; motion algorithms cut path deviation ~20%.

  5. Jun 2023–Feb 2024

    Agent-based economic simulations (COBWEB) modeling cooperative vs. competitive behavior.

003projects

Selected work

YOLOv8 (Nano) for millisecond object detection anchoring OpenCV CSRT tracking, with Stable Diffusion inpainting to map context-aware texture overlays onto tracked regions.

repo details

LangChain agents over a hybrid retrieval pipeline (BM25 sparse + bi-encoder dense), fused with reciprocal rank fusion and a Hugging Face cross-encoder re-ranker for precision on multi-hop QA. (QMIND design-team work.)

repo details

End-to-end classification pipeline (logistic regression + random-forest ensembles) segmenting 7,000+ users by churn probability.

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all projects →

004contact

Contact

Open to internships and interesting problems — reach out.

aryanahlawat2006@gmail.comgithublinkedin