I am a Machine Learning Engineer with an MCA from Devi Ahilya Vishwavidyalaya, Indore. I specialize in production AI, ML model fine-tuning, and real-time video analytics. I have completed two research internships, fine-tuned Llama 3 via QLoRA achieving ROUGE-1 49.06, and built CCTV face recognition pipelines using HuggingFace embeddings + FAISS, OpenCV-based video pipelines, and Flask services.

Shyam R Anasar

I am a Machine Learning Engineer with an MCA from Devi Ahilya Vishwavidyalaya, Indore. I specialize in production AI, ML model fine-tuning, and real-time video analytics. I have completed two research internships, fine-tuned Llama 3 via QLoRA achieving ROUGE-1 49.06, and built CCTV face recognition pipelines using HuggingFace embeddings + FAISS, OpenCV-based video pipelines, and Flask services.

Available to hire

I am a Machine Learning Engineer with an MCA from Devi Ahilya Vishwavidyalaya, Indore. I specialize in production AI, ML model fine-tuning, and real-time video analytics.

I have completed two research internships, fine-tuned Llama 3 via QLoRA achieving ROUGE-1 49.06, and built CCTV face recognition pipelines using HuggingFace embeddings + FAISS, OpenCV-based video pipelines, and Flask services.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Machine Learning Intern at INDSAC Softech
February 1, 2026 - Present
Engineered an AI-based surveillance system for real-time visitor monitoring across 4 CCTV feeds; built a face recognition pipeline using HuggingFace FaceNet embeddings and FAISS with sub-100ms identity matching for 500+ profiles; developed a real-time OpenCV-based video pipeline at 25 fps for multi-camera streams with no frame drops; designed an automated alert engine notifying security and management within 3 seconds of detecting an unrecognized individual via SMS and email; built a Flask web app for visitor approvals, access logs, and monitoring; containerized with Docker for reproducible deployment across environments.
Machine Learning Research Intern at Suvidha Foundation
December 1, 2025 - February 28, 2026
Researched multi-document summarisation for Indian English using LLMs; surveyed 15+ architectures (T5, BART, PEGASUS, LLaMA) to inform model selection; fine-tuned Llama 3-3B using QLoRA (4-bit) via HuggingFace PEFT library, achieving ROUGE-1 49.06; designed a 4-bit quantisation pipeline enabling large-model fine-tuning on a single T4 GPU, cutting memory usage ~40% vs full fine-tuning; tracked experiments with MLflow for reproducibility; benchmarked LoRA vs QLoRA across speed, memory, and ROUGE metrics.

Education

Master of Computer Application at Devi Ahilya Vishwavidyalaya, Indore
January 1, 2024 - January 1, 2026
Bachelor of Computer Application at Devi Ahilya Vishwavidyalaya, Indore
January 1, 2021 - January 1, 2024

Qualifications

Cyber Security Certificate
January 1, 2023 - April 1, 2023

Industry Experience

Software & Internet, Education, Media & Entertainment, Professional Services, Other