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sukhmansaran/README.md

Sukhmandeep Singh

ML Engineer · Protein & Antibody Design · Computational Biology

I build the ML pipelines that turn protein models into design decisions: protein language models, structure prediction, candidate scoring and ranking, on HPC and cloud.

Open to full-time roles in protein design and AI drug discovery · open to relocation
sukhnansaran@gmail.com · LinkedIn


Experience

AI Engineer, Nucleovir Therapeutics · Mar – Oct 2026 · Pune, India

In silico antibody and protein design. Project details are under NDA.

  • Built evaluation, filtering and ranking pipelines combining structure predictions with sequence- and structure-based scoring; on one antibody-design project this narrowed ~1,500 generated candidates to a top 30 for experimental testing.
  • Integrated protein language model and structure-prediction pipelines into design workflows with computational biology and R&D teams.
  • Optimised GPU structure-prediction runs with batched inference and multi-worker CPU parallelism.
  • Deployed and orchestrated pipelines across AWS, SLURM and Nextflow, containerised with Docker.

ML Research Engineer, NIT Warangal · Aug 2025 – Feb 2026

Deep learning models deployed offline on Android, Raspberry Pi and Jetson Nano: 10–33 FPS, <350 ms end-to-end latency, model size cut from 10 MB to ~3 MB with quantization. Mentored 10+ interns.


Open source

Graphein — graph representations of protein structures · 4 merged PRs

  • Fixed PyTorch Geometric conversion misaligning edge features with edge_index — #497
  • Fixed hydrogen-bond detection in add_hydrogen_bond_interactions — #458
  • Kept atom charges when saving PDB files — #498
  • Fixed the extras flag on import messages — #459
  • Under review: alternate-location conformer mixing — #515

BioPandas — pandas tools for molecular structure files

  • Under review: Mol2 bond parsing — #170 · read_mol2 fix when ATOM ends the input — #171

Selected work

Fine-tuning RFdiffusion3 for antibody CDR design · in progress

Fine-tuning a diffusion model to redesign antibody CDR loops against a target epitope, with a held-out benchmark against the released weights. Write-up coming; code available on request.

Alzheimer's research assistant — grounded RAG over biomedical literature

alzheimers-rag · Python

Hybrid dense + BM25 retrieval with rank fusion, local LLM inference, cited answers and a hallucination guard. Evaluated on 44 labelled questions (hit@5, MRR); tested with pytest and GitHub Actions CI.

Production RAG platform

visa-rag-llm · FastAPI · Next.js · PostgreSQL · Redis · Celery

Self-hosted RAG system with an autonomous crawler, change detection, verified-answer path and a full pytest suite.


Tech stack

Computational biology — AlphaFold · ColabFold · ESM · ProteinMPNN · RFdiffusion · Biopython · PyMOL · Graphein · BioPandas

ML — Python · PyTorch · TensorFlow · Hugging Face Transformers & Diffusers · scikit-learn · XGBoost

HPC & MLOps — SLURM · Nextflow · AWS · Docker · batched GPU inference · ONNX · quantization

Backend — FastAPI · PostgreSQL · Redis · Celery · pytest


Working on protein design, antibody engineering or ML for drug discovery? I'd love to talk: sukhnansaran@gmail.com

Pinned Loading

  1. alzheimers-rag alzheimers-rag Public

    Retrieval-augmented generation over Alzheimer’s research literature.

    Python

  2. airline-analytics-ml-system airline-analytics-ml-system Public

    Production-style ML system predicting airline booking completion (XGBoost/LightGBM/CatBoost, ROC-AUC 0.717) with dual-model NLP sentiment analysis. FastAPI backend, React dashboard, Docker + CI/CD.

    Python

  3. fine-tuning-stable-diffusion-models-lora-dreambooth fine-tuning-stable-diffusion-models-lora-dreambooth Public

    This repository is about Fine Tuning Stable Diffusion Models using the DreamBooth and LORA techniques.

    Jupyter Notebook 2

  4. classification-of-mice-based-on-protein-expression-levels classification-of-mice-based-on-protein-expression-levels Public

    Multi-class classification on high-dimensional protein expression profiles — feature selection and model comparison.

    Jupyter Notebook

  5. vehicle-inventory-system vehicle-inventory-system Public

    Automated vehicle inventory management with ML price prediction

    Python