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Tejas Shrivastava

@tejasshrivastava

Computer Vision & AI student building real-time, LLM-powered automation pipelines for production impact.

India
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What I'm looking for

I’m looking for a role where I can build and deploy AI systems—especially Computer Vision and LLM/agentic workflows—focused on real-world performance (latency, benchmarking, robustness) with a strong engineering and research mindset.

I’m a third-year BTech student specializing in Computer Vision, NLP, and agentic AI systems, with hands-on experience turning research-grade ideas into working pipelines. I’ve built end-to-end workflows for nanoscale imaging, including fine-tuning models for denoising, deblurring, and super-resolution, and deploying real-time segmentation and detection for live SEM video.

I aim to build reliable AI that performs under real constraints—latency, robustness, and deployment readiness. From a Bajaj HackrX Top 0.3% achievement with an LLM-powered RAG pipeline to leading product and AI integration initiatives that cut turnaround to under 2 hours, I bring a full-stack mindset spanning data engineering, benchmarking, and production deployment.

Experience

Work history, roles, and key accomplishments

BA
Current

Machine Learning Intern

Bharat Atomic

May 2026 - Present (1 month)

Fine-tuned NAFNet, DnCNN, RDUNet, and Real-ESRGAN on SEM micrographs for denoising, deblurring, and super-resolution, achieving 41dB PSNR. Deployed a real-time feature segmentation and detection pipeline for live SEM video at 30fps with 32ms inference latency.

Education

Degrees, certifications, and relevant coursework

Maulana Azad National Institute of Technology logoMT

Maulana Azad National Institute of Technology

Bachelor of Technology, Civil Engineering

2023 -

Pursuing a B.Tech in Civil Engineering at MANIT Bhopal (2023–2027). Coursework includes Summer Analytics (IIT Guwahati) and Kaggle Intro to Machine Learning and Machine Learning Explainability.

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