Sukhmandeep S

AI Engineer

NucleoVir Therapeutics • Full-time

Mar 2026 - Present • 6 mos

•Develop and integrate protein language model and structure-prediction workflows for sequence design and AI-driven biomolecule discovery. •Build and maintain automated evaluation, filtering, and ranking pipelines for generated protein candidates by combining structural predictions with sequence- and structure-based criteria. •Design and operate reproducible GPU/HPC workflows for large-scale structure prediction, model inference, and candidate evaluation. •Contribute to AI infrastructure and data-pipeline development supporting biomolecular design workflows in collaboration with computational biology and R&D teams.

Machine Learning Engineer

National Institute of Technology Warangal • Freelance

Aug 2025 - Feb 2026 • 6 mos

•Deployed lightweight ML/DL models for fully offline classification and regression on Android, Raspberry Pi, and NVIDIA Jetson Nano devices. •Reduced model size from 10 MB to 3 MB through quantization, achieving 230–350 ms end-to-end inference latency on constrained edge hardware. •Integrated models into a Flutter application with on-device SQLite caching, maintaining <20 MB memory usage and <20% CPU utilization on Android. •Built Dockerized inference pipelines and mentored 10+ interns in ML, deep learning, IoT, edge deployment, and real-time sensor integration.