MANO
PRASAD V
Building intelligent systems at the intersection of deep learning, computer vision, and NLP. Real research → real deployment.
ABOUT
I'm Mano Prasad V, an AI/ML Engineer passionate about closing the gap between cutting-edge research and real-world deployment.
Currently B.Tech with GPA 8.0+. I specialize in Computer Vision, NLP, and building Retrieval-Augmented Generation pipelines. Every model I build is designed for the real world — not just a benchmark.
My stack covers everything from YOLO-based real-time detection to domain-specific legal AI assistants. I care about fast inference, clean APIs, and explainable outputs.
I also have a strong foundation in Data Structures & Algorithms. Active on LeetCode with 110+ problems solved, constantly sharpening my problem-solving and algorithmic thinking.
SKILLS
◈ Synaptic architecture — node radius encodes proficiency · animated pulses = active signal propagation
PROJECTS
Leaf Disease Classifier
CNN model classifying 38 plant diseases from leaf images for early agricultural intervention.
Face Liveness Detection
Anti-spoofing system distinguishing real faces from photos/screens at 30 FPS.
LawGPT — AI Legal Assistant
Domain-specific AI legal chatbot using RAG + FAISS for Indian law queries.
EXPERIENCE
AI/ML Engineering Intern
VISKAMNIX TECHNOLOGIES
Deployed production-grade computer vision models. Built face liveness detection and optimized model inference pipelines for real-time deployment on cloud infrastructure.
- ▶ Deployed YOLO-based real-time detection pipeline
- ▶ 30+ FPS inference on edge devices
- ▶ Integrated AI with existing authentication stack
- ▶ Reduced false positive rate by 60% via fine-tuning
B.Tech — Computer Science & Engineering
Affiliated College
2023 – 2027
ACHIEVEMENTS
Smart India Hackathon — Finalist
Top 5 Nationally
Reached national finals with LawGPT — an AI legal assistant that democratizes access to Indian law.
Workato Automation Pro I & II
Enterprise Automation Certified
Dual-certified in Workato Automation Pro I and Pro II — covering enterprise workflow automation, API integrations, and building production-grade automation recipes.
Deep Learning Specialization
Coursera — deeplearning.ai
5-course DL Specialization by Andrew Ng: CNNs, RNNs, sequence models, optimization.
Pals Innowah — Kaggle Competition
Organized by IIT Madras
Secured 2nd place in the Pals Innowah Kaggle competition organized by IIT-M, competing against teams across the country with a real-time agricultural disease detection model.
Google ML Professional Certificate
Google — Machine Learning
Currently pursuing the Google Machine Learning Professional Certificate — covering supervised/unsupervised learning, MLOps, model evaluation, and production deployment on Google Cloud.