Headline

Data Scientist | Applied AI for Defence Systems | LLMs, ML & Native AI RF intelligence

About

Welcome to my LinkedIn profile! I'm a results-driven professional with a strong foundation in engineering systems. Building the next generation of defense AI—combining machine learning, signal processing, and GPU systems engineering to enable intelligent sensing and autonomous decision-making.

Location

India

AI stack

claude code

hermes agent

huggingface

ChatGPT

Pinecone

vLLM

Work experience

Data Scientist at CONSTELLI, Jan 2026 - Present · 8 mo, Bengaluru, Karnataka, India, Developed and evaluated architectures including CNNs, ResNet, Vision Transformers, 1D sequence models, S4-based architectures, sparse-attention models, and hybrid architectures. Also development new model categories from scratch and published them Developed multiple edge deployment stack , kernel engineering and local no api based Platforms for intelligence using frontier models. Developed inference workflows for GPU-based environments rather than relying exclusively on cloud APIs. RF / Signal ML: IQ Processing · PDW Analytics · STFT · Spectrograms · RF Classification · Drone Detection · Emitter Characterization · SNR Robustness · Signal Intelligence Worked with CUDA, PyTorch, mixed precision/BF16, GPU batching, gradient accumulation, memory mapping, and efficient data loading.

Account Development Representative at Lendio, Sep 2024 - Oct 2024 · 2 mos, Lehi, Utah, United States, New Markets and Customer Acquisitions Assistant. Helped achieve fantastic market outreach and B2B sales goal. Cold Calling, Account relationship management, B2B marketplace management: the whole Sales Package. Unfortunately, as soon as my training ended, I had to relocate to India. One of my Best jobs ever! Just circumstances!

IT Support Technician at University of Utah Health, Nov 2022 - May 2024 · 1 yr 7 mos, Salt Lake City Metropolitan Area, Assist the ITS help desk team with managing and troubleshooting IT issues with the various tools. The responsibilities included basic troubleshooting of electronic devices and document procedures. Leveraged expertise in applications such as EPIC, Citrix, Central AD systems, and networks.

Fleet Attendant at Starship Technologies, Aug 2022 - Nov 2022 · 4 mos, Salt Lake City Metropolitan Area, Maintaining the starship fleet of autonomous robots by troubleshooting and regular maintenance. Provided merchant support by troubleshooting user devices and the operations process

Education

Bachelor of Science - BS, Management Information Systems, General, University of Utah - David Eccles School of Business

High School Diploma, PCM, Delhi Public School - India