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Susmit Shegokar

Research @ Siemens | M.Tech CSE @ IIT KGP ’25 | GCOEAian

Bengaluru

3+ years of work experience

Siemens
Sep 20251 yrPresent

Siemens
Mar 20257 mosSep 2025

Bengaluru, Karnataka, India

Working on LLM-driven AWS architecture optimization with RAG, and exploring LLMs for efficient edge deployment.
Cognizant
Nov 20215 mosMar 2022

Pune Division, Maharashtra, India

Cognizant
Nov 20201 yr 1 moNov 2021

Pune Division, Maharashtra, India

Susmit’s AI Stack

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Education

Indian Institute of Technology, Kharagpur

Master of Technology - MTech, Computer Science and Engineering

Indian Institute of Technology, Kharagpur

20232 yrs2025
Government  College of Engineering, Amravati.

Bachelor of Technology - BTech, Computer Science and Engineering

Government College of Engineering, Amravati.

20164 yrs2020

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Headline

Research @ Siemens | M.Tech CSE @ IIT KGP ’25 | GCOEAian

About

M.Tech in Computer Science & Engineering from IIT Kharagpur (GPA 8.85/10) now working as a Research Engineer (AI/Edge Systems) at Siemens Technology, building intelligent systems across deep learning, LLMs, multi-agent AI, and edge deployment. At Siemens, I work on: - Designing and evaluating multi-agent reasoning systems for complex architecture problems - Deploying quantized LLMs on edge devices for offline, low-latency AI execution - Running LLM inference on edge devices using WASI-NN and GGUF-quantized models - Optimizing 4/8-bit model loading for constrained hardware - Building edge Kubernetes onboarding workflows using kubelet + MQTT My M.Tech thesis focused on sleep stage recognition using EEG signals converting them to audio and applying Whisper for multimodal sequence modeling (ResNetSleep: CNN + Transformer + BiGRU, 83% cross-age accuracy). This work led to a 2nd-author publication at PReMI 2025. Earlier, I spent ~1.4 years at Cognizant in production engineering, which gave me strong roots in large-scale systems before I pivoted fully into AI research. I'm passionate about pushing the boundaries of AI from designing neural architectures to deploying them efficiently in the real world, at any scale.

Location

Bengaluru

AI stack

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Work experience

Research Engineer at Siemens, Sep 2025 - Present · 1 yr

Intern at Siemens, Mar 2025 - Sep 2025 · 7 mos, Bengaluru, Karnataka, India, Working on LLM-driven AWS architecture optimization with RAG, and exploring LLMs for efficient edge deployment.

Jr. Prod Specialist -Tech at Cognizant, Nov 2021 - Mar 2022 · 5 mos, Pune Division, Maharashtra, India

Programming Analyst Trainee at Cognizant, Nov 2020 - Nov 2021 · 1 yr 1 mo, Pune Division, Maharashtra, India

Education

Master of Technology - MTech, Computer Science and Engineering, Indian Institute of Technology, Kharagpur

Bachelor of Technology - BTech, Computer Science and Engineering, Government College of Engineering, Amravati.

Public links

github: https://github.com/susmitshegokar

Susmit Shegokar - Research Engineer in Bengaluru | Tal