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bhaskargurram-ai/README.md

Bhaskar Gurram

AI/ML engineer at Zasti Inc. (Ashburn, VA). M.S. in Computer Science, University of Cincinnati.

I work on the performance and numerical correctness of scientific and ML software. Most of my open-source work is algorithmic speedups and correctness fixes in libraries that other people build on.

Website · Google Scholar · LinkedIn · Email


Merged upstream contributions

Project Contribution Result
Google JAX Batched lexsort / unique(axis=...): new batch_size keyword, designed with a core maintainer over six review rounds Compile time no longer grows with the number of keys: jnp.unique 15.5 s → 0.28 s; lexsort on 100 keys 162 s → 0.22 s
statsmodels Closed-form leave-one-out influence measures (dfbetas, dffits, cov_ratio, studentized residuals); closes maintainer issue #9009 35 s → 2.7 ms at n = 10,000; matches R's influence.measures to 12 decimals
xarray interp skips sortby on already-sorted coordinates Vectorized interp 164 ms → 2.9 ms
Hugging Face candle Row tiling in the CPU quantized matmul for prefill About 1.45x faster prefill for Q4K / Q8_0; outputs bit-identical
Bokeh Row/Column layout reserves room for aligned borders (BokehJS) Fixes cropped axes and legends; milestone 4.0, backported
Apple MLX (mlx-lm) Left-padding mask in batched generation Fixes wrong logits for left-padded batches in two model families
Google JAX zeta JVP rule, pareto support boundary Correct values and gradients outside the domain and at the support edge
LangSmith SDK Keep the HTTP response on raise_for_status_with_text errors Shipped in v0.14.2
CISA CSET (US DHS) Raise the PBKDF2 work factor to OWASP guidance Password-hash hardening in CISA's Cyber Security Evaluation Tool
USGS dataretrieval (US DOI) Open-ended (..) date ranges in the OGC client Fixes silently unfiltered results and HTTP 400s in the official USGS water-data client
Sandia National Laboratories pyGSTi Default POVM for circuits on a subset of a model's qubits; fixes #721, a 0.11 release blocker Circuits on part of a multi-qubit model no longer fail with "Missing POVM"; merged by a Sandia maintainer
Microsoft Olive Declare requests as an install dependency Fixes import olive failing after a fresh install; also hit by Microsoft's olive-recipes
ONNX (Linux Foundation AI) Define DynamicQuantizeLinear scale for all-zero inputs Spec and reference fix: all-zero inputs no longer give a zero scale (NaN downstream); now matches ONNX Runtime
Apache ShenYu (Apache Software Foundation) Render non-JSON API debug responses as plain text; fixes security issue #614 The admin console no longer renders upstream response bodies as HTML; merged by a ShenYu PMC member
pylint Fix pyreverse hang/RecursionError with --all-associated; closes #3602 Class diagrams of code that rebuilds classes on each inference no longer hang or crash; merged by the pylint maintainer and backported to 4.1.x
Rust cc crate (rust-lang/cc-rs) Stop forwarding -Cprofile-generate/-Cprofile-use to the C compiler; fixes #1986 PGO builds no longer segfault when the C compiler's LLVM differs from rustc's (the cause behind rust-lang/rust#163640); merged by the cc-rs maintainer the same day
ogx Dependency floor for the inline provider Fixes a user-reported install failure
cartography (CNCF) Handle empty Google Workspace groups Fixes a sync crash

Research

  • Valid Per-Field Selective Risk Control for Document Extraction: Three Failure Modes, a Validity Ladder, and When Conditioning Pays. B. Gurram. arXiv:2608.14639, 2026. Code: verifydoc.
  • Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language Agents. B. Gurram. arXiv:2604.16706, 2026. Code: agenthallu-bench.
  • Agentic systematic literature review: a multi-agent LLM pipeline evaluated on 62 randomized controlled trials across five medical specialties. Submitted to Expert Systems with Applications, 2026. Code: agentic-slr.
  • M.S. thesis (2024): EEG-fMRI fusion with temporal convolutional networks for decoding visual stimuli. Accuracy is 84.8% within subject and 81.1% leave-one-subject-out, compared with 65.5% for EEG only and 74.6% for fMRI only. Advisor: Prof. Vikram Ravindra.

Projects

  • verifydoc: calibrated per-field confidence and source grounding for document-to-JSON extraction, with accept/review abstention.
  • unwind: a reversibility layer for agent tool calls. It is an MCP proxy with a cross-server undo log.
  • provio: authorization and provenance for AI agent tool calls.
  • HARNESS-DB: a coded dataset of 1,256 agent harnesses.

Experience

  • AI Engineer, Zasti Inc. (2024–present): agentic and retrieval systems for clinical research. Retrieval over 50M+ document embeddings, and 4-bit GPTQ deployment that cut model size by 75%.
  • Graduate Teaching Assistant, University of Cincinnati (2022–2024): Python, cloud and ML labs for 500+ students.
  • Deep Learning Developer, Technocolabs Softwares (2021–2022): led a four-person team building medical pattern-recognition models.

Education

  • M.S. Computer Science, University of Cincinnati, 2024. GPA 3.95/4.0. Graduate Incentive Award.
  • B.Tech. Computer Science, SRM Institute of Science and Technology, 2022. GPA 3.98/4.0.
  • MicroMasters in Data Science, UC San Diego, 2022.

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