ML / AI Systems Engineer

Vishesh
Shekhawat

I build ML systems that go the distance — from reading the paper to shipping the service. Diffusion models, LLM agents, and the backend that holds them together.

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Vishesh Shekhawat
ML / AI Systems Engineer
M.Tech AI @ NIT Jalandhar
73
Global rank · TensorTonic
203
Global rank · deep-ml
350+
DSA problems solved
top 32%
LeetCode
10+
Systems shipped
10+
Kaggle competitions
About

From the paper to production.

Deeply interested in how intelligent systems actually work — and in building the ones that hold up outside a notebook.

I'm pursuing an M.Tech in Artificial Intelligence at NIT Jalandhar, focused on designing and building AI systems end to end. My work centers on machine learning, deep learning, and generative AI — and on making the results both rigorous and genuinely useful.

I sharpen the fundamentals through data-science competitions and structured algorithmic practice, and I care about depth: understanding a method well enough to implement it from the paper, then turning it into something scalable.

Outside coursework I read new research, test ideas through independent projects, and build in the open. The long-term goal is to help ship intelligent systems that make a measurable difference.

Datasheet
Role
ML / AI Systems Engineer
Currently
M.Tech AI, NIT Jalandhar
Based in
Jalandhar, India
Focus
Diffusion · LLM agents · MLOps
Open to
Research & engineering roles
Focus
Diffusion & generative modelsLLMs & agentic systemsRAG & retrievalMLOps & backend systemsDistributed / systems engineeringPyTorch · FastAPI · Docker
Selected work

Systems, shipped.

Production systems, agents, and from-scratch paper implementations. Select any for detail.

Timeline

Education

The academic track behind the systems work.

  1. 2025 — PresentJalandhar, PunjabCGPA 8.78 / 10

    M.Tech, Artificial Intelligence

    National Institute of Technology, Jalandhar

    Advanced study in AI/ML with a focus on deep learning, computer vision, and NLP — building AI systems end to end.

  2. 2020 — 2024Sikar, RajasthanCGPA 8.45 / 10

    B.Tech, Computer Science & Engineering

    SobhaSaria Group of Institutions

    Foundations in CS: data structures, algorithms, and software engineering — where the pull toward machine learning started.

Contact

Let’s build something that lasts.

Open to research and engineering roles, collaborations, and genuinely hard problems. The fastest way to reach me is email.