Open to Internship & AI Engineer roles
Rakesh
Kumar
AI Engineer · Machine Learning Engineer · Generative AI Engineer
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I'm currently pursuing my M.Tech in Computer Science (AI & ML) at VIT Vellore. I build production-grade AI systems end-to-end — from model architecture to the infrastructure that serves it at scale. My work sits at the intersection of applied research and shippable software engineering.
Vellore Institute of Technology, Vellore
GPA 8.38 / 10KIET Group of Institutions, Ghaziabad
CGPA 7.3 / 10A full-stack toolkit spanning model development, deployment, and the infrastructure that holds it all together.
Production-oriented systems spanning agentic RAG, distributed infrastructure, and applied ML security.
Production-ready multimodal RAG with LangGraph multi-agent pipeline, corrective retrieval loops, and human-in-the-loop approval via interrupt(). Ingests PDF, image, and Whisper audio/video with dual-memory (SQLite + in-memory store).
Architected a build platform from Redis Pub/Sub (V1) to Kafka + ClickHouse + PostgreSQL (V2), with isolated AWS ECS Fargate containers per build and durable SASL/SSL Kafka log persistence.
Phishing URLs evolve faster than static classifiers can adapt, causing detection performance to silently decay as attacker patterns drift over time.
An 80,008-dimensional sparse feature pipeline (TF-IDF character n-grams + lexical features) feeds a stacked ensemble — SGD, DeepTCN+Attention, and Isolation Forest — combined via a Random Forest meta-learner.
100xDevs
Udemy
Designed and facilitated workshops on Data Structures & Algorithms for junior students.
Community outreach: food distribution, blood donation camps, and educational programs.