Researcher → applied scientist
Yashwardhan Chaudhuri
Applied ML scientist. Previously Wadhwani AI and IIIT-Delhi.
I like to think from first principles. I started my journey in research labs where I slept and worked, from no GPUs to external grants for my first workstation. What pulled me toward applied science was the ambition of generating socio-economic value from research, and whether the work created value for someone who needed it. I call it business aligned R&D. I can go in as much depth as required if it solves a real problem.
Projects built with
Work
The things I've built and shipped. Open any project for the short story behind it: the problem, what I built, and what came of it.
Founder · 2025–2026
Consulting · 2025–2026
- DraftNCraft (Sep 2025 – Apr 2026) · Prior-art search architecture and hybrid index for 1M+ patent records at Global IP Services. · markdown
Wadhwani AI · 2022–2025
- LEARN (2024 – 2025) · Chapter-level clips and course search on SWAYAM for the Ministry of Education. · markdown
- ORF (2024 – 2025) · Lexical–sublexical analysis and Gujarati child-speech ASR for statewide reading fluency. · markdown
- PROS (2023 – 2024) · Help nurses prioritize pregnancies at risk of a missed visit. Shipped as Java. · markdown
Projects & Hackathons · 2024
- FedEm · Project Seshu (Jan – Apr 2024) · National hackathon winner (₹1,00,000): community fine-tuning without centralizing data. · markdown
Research · 2022–2024
- Usable Security Group (Jan 2022 – Jun 2024) · Four publications and prototypes where models had to be useful to operators. · markdown
- SeekSuspect (2022 – 2023) · Suspect search from partial witness descriptions. · markdown
Publications
Peer-reviewed and preprint work in research critique, speech/audio ML, and efficient vision models.
- E3: Issue-Level Backtesting for Automated Research Critique A backtesting framework for automated paper critique: 90.2% issue recall on post-cutoff ICLR submissions against GPT, Claude, and human-review baselines.
- VoxMed: Respiratory Disease from Stethoscope Audio
- ASGIR: Audio Spectrogram Transformer for Birds
- FGA: Fourier-Guided Attention Crowd Counting
- Lightweight Feature Fusion for Crowd Counting
Experience
The path that got me here, across research labs, public-interest AI, and my own products. Download PDF resume →
Co-Founder (Product + Research)
Jan 2026 – PresentNoteweave · evolved from ResXiv · Delhi, India
- Designed E3 evaluation protocol for automated paper critique (arXiv:2605.27072): 90.2% partial-inclusive recall on 4,598 post-cutoff ICLR 2026 issue rows against GPT, Claude, and human review baselines.
- Shipped LangGraph agents with FastAPI serving to 150+ users on VS Code and web app, reducing time from research brief to cited, executable plans.
- Built hybrid search over 3M+ arXiv papers grounding agent and automated critique outputs.
Founder in Residence
Apr 2026 – May 2026Founders, Inc. · Canopy Accelerator (Noteweave) · San Francisco, CA
- Canopy residency for Noteweave: shipped LangGraph agent pipelines, hybrid search, and E3 evaluation harnesses from research prototype to production release.
Co-Founder (Product + Tech)
Sep 2025 – Mar 2026ResXiv · Delhi, India
- Built agentic search across 11 scholarly indexes (280M+ catalog records) with provider normalization, discipline tagging, deduplication, and PDF ingest.
- Built LangGraph research agents with tool routing over search, OpenAlex, project libraries, and paper-specific RAG; streamed structured field reports through FastAPI.
- Implemented cited paper chat and multi-pass draft critique over chunked PDFs with mandatory citations, OpenAlex checks, and structured issue/risk outputs.
- Designed FastAPI inference paths, PostgreSQL metadata, Qdrant vector indexing, async PDF ingest, and LaTeX workspace for 300+ MAU production beta.
Independent Consultant (Part-Time) · ML & Search Systems
Jan 2026 – Mar 2026DraftNCraft (Global IP Services) · Remote
- Designed prior-art search architecture for 1M+ patent records at Global IP Services: hybrid lexical + semantic search over Elasticsearch and Qdrant with PostgreSQL canonical store across USPTO/EPO/WIPO filings.
- Built the search gateway, indexing pipeline, and dual-index backbones for million-scale prior-art discovery.
Associate ML Scientist I
Oct 2023 – Sep 2025Wadhwani AI · New Delhi, India
- LEARN / SWAYAM: lecture segmentation and hybrid course search on Ministry of Education SWAYAM; developed for 2 courses in the national pilot (AVLectures research → ASR + LLM production).
- ORF / Vachan Samiksha: lexical–sublexical analysis and Wav2Vec2-style Gujarati child-speech ASR on field transcripts (CER, WER, WCPM) for statewide reading fluency.
- PROS (Jhpiego): tree-ensemble missed-visit risk model for antenatal care with SHAP interpretability; exported to Java via m2cgen for JDK edge deployment; field-validated with Jhpiego in Madhya Pradesh.
Research Associate
Jan 2022 – Jun 2024Usable Security Group @ IIIT-Delhi · New Delhi, India
- Worked under Prof. Arun Balaji Buduru on grant-funded usable-security research; developed crowd-counting architectures with 80% FLOPs reduction and 25% benchmark improvement, co-authoring FGA (IJCNN'24).
- Built PyTorch training pipelines, ablations, and Grad-CAM analysis for Fourier-guided attention and lightweight feature fusion papers; contributed to grant-writing and technical proposal material.
- Benchmarked five pretrained audio encoders for deepfake detection; XLS-R achieved lowest equal-error rate on ASVspoof 2019 and In-the-Wild corpora.
- IJCNN 2024 technical program committee reviewer.
CHANAKYA Research Fellow
Sep 2022 – Mar 2023IIT Patna · Patna, Bihar
- Engineered aerial crowd-density pipeline in PyTorch/OpenCV with ONNX export on NVIDIA Jetson Nano; adapted lightweight density-map regressors for aerial crowd-counting evaluation (INR 100,000 fellowship).
Education
B.Tech, Computer Science with minors in Human Centered Design
Indraprastha Institute of Information Technology Delhi (IIIT-Delhi)
I take a few calls each month for research collaborations, consulting, and roles where the work ships. Reach out if you are building research systems, evaluation, or production ML.
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