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Mano Prasad VMV
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Mano Prasad V

@manoprasadv

AI/ML engineer specializing in real-time computer vision and NLP, building production-ready deep learning systems.

India
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What I'm looking for

I’m seeking SDE Intern / AI-ML Engineer roles at innovative technology companies where I can build and optimize production AI systems—especially real-time computer vision and NLP—while learning from strong teams and shipping impactful models.

I’m an AI/ML Engineer with B.Tech training (GPA 8.00/10) and production experience in Computer Vision and NLP. I build end-to-end deep learning systems—from data preprocessing and architecture design to optimization and deployment—using PyTorch, TensorFlow, and GCP.

In my Viskamnix internship, I designed and deployed a real-time object detection system using YOLOv5/YOLOv8 on live video, optimizing GPU inference to reach 40–60 FPS with sub-100ms latency. I also integrated a TTS alert module for hazardous obstacle detection and delivered a production-ready prototype within 3 months; beyond that, I’ve built projects like an ensemble leaf disease classifier and a FAISS-powered RAG legal assistant.

Experience

Work history, roles, and key accomplishments

VT

AI/ML Engineer Intern

Viskamnix Technology

Jul 2025 - Aug 2025 (1 month)

Designed and deployed a real-time YOLOv5/YOLOv8 object detection system on live video streams for an AI-based indoor elderly assistance application focused on mobility safety. Optimized GPU inference to achieve 40–60 FPS with sub-100ms latency and integrated a TTS alert module, delivering a production-ready prototype within 3 months.

Education

Degrees, certifications, and relevant coursework

RC

Rajalakshmi Engineering College

Bachelor of Technology (B.Tech), Artificial Intelligence & Machine Learning

2023 - 2027

Grade: 8.0 / 10.0

Activities and societies: Coursework includes Machine Learning, Deep Learning, Computer Vision, NLP, and DSA/DBMS; Smart India Hackathon 2024 — Top 5 finalist.

B.Tech in Artificial Intelligence and Machine Learning at Rajalakshmi Engineering College (GPA 8.0/10), with coursework in ML, deep learning, computer vision, and NLP.

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