I'm a Machine Learning Engineer + Researcher currently pursuing my M.S. in Computer Science at NYU Courant (GPA: 4.0).
My work sits at the intersection of:

• LLM reasoning, retrieval & attention mechanisms
• Healthcare ML & safety for deployed clinical AI
• Document intelligence, VLMs, synthetic data generation
• Production ML systems & model monitoring

Working with Prof. Eunsol Choi on multilingual LLM retrieval:

• Improving in-context fact retrieval across 5 languages
• Modifying attention mechanisms in LLaMa-3.2-8B, Qwen-2.5-7B, Phi-3.5
• Achieved 15% retrieval gains with 30% lower KV-cache

Building production-grade safety systems for ML models powering clinical workflows across 23 hospitals.

• Designed drift detection pipelines (K-S, PSI, DeLong)
• Real-time monitoring with Prometheus + Grafana
• Extensive work with HIPAA-compliant datasets (EPIC COSMOS, OMOP CDM, Caboodle, Clarity)
• Co-authored NIH & PCORi grant proposals

Published at ICDAR 2025 (Oral, Top 2%).

• Generated 18k synthetic slides using novel LLM pipeline
• Boosted VLM performance by 13% mAP and 10% Recall@K
• HuggingFace model reached 500+ downloads

AI-Generated Lecture Slides for Improving Slide Element Detection and Retrieval
Maniyar, Trivedi et al.
Project: https://synslidegen.github.io
DOI: https://doi.org/10.1007/978-3-032-04614-7_11

Code: https://github.com/NerdyVisky/adaptive-gpu-hashtable

• Built a high-performance adaptive GPU hash table in C++/CUDA using cooperative groups and elected-lane atomics
• Achieved 21x faster inserts and 20x faster lookups, outperforming naive GPU hashing at scale
• Implemented epoch-based dynamic resizing + compaction for non-blocking concurrency
• Sustains stable throughput on 100M+ operations, even at 0.99 load factor

• Designed Attention-Aware DPO improving multi-image VQA accuracy by 8.5%
• Applied AdaptVis for inference boosts - 10% over base model
• Built LLM-as-a-judge with Gemini-2.5-Pro
  Code: https://github.com/harsh-sutariya/AA-DPO
  Website: https://nerdyvisky.github.io/projects/AttnDPO/

• Refactored full codebase for faster, leaner execution
• Built vectorized dataloaders, added flash-attention, integrated vLLM
• Reduced inference time 2 hrs - 30 mins (4x faster)
  Code: https://github.com/NerdyVisky/multilingual-retrieval-translation-heads

Python * C/C++ * R * SQL (Postgres, MySQL) * JavaScript * TypeScript * Bash/Zsh

PyTorch * TensorFlow * HuggingFace * LangChain
NumPy * Pandas * scikit-learn * Matplotlib

AWS * GCP * Azure * Databricks
Docker * Git * Redis * MongoDB
Prometheus * Grafana

Thanks for stopping by! Feel free to reach out if you're working on LLMs, retrieval, ML safety, or healthcare AI.

[Nov 2025] - I am looking for fulltime roles related to SDE/MLE and Applied Science based in the US starting Summer 2026. I am a US Permanent Resident (Green Card), and hence require no visa sponsorship. If you're hiring and like my work, feel free to connect on my email : vishvesh106@gmail.com