Pavanakarthikeya Ch

AI/ML Engineer · Information Technology Undergraduate

Hyderabad, Telangana, India

@pavanakarthikeya

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🎓 B.Tech in Information Technology at Vidya Jyothi Institute of Technology (VJIT) · Graduating 2028

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About

AI/ML-focused Information Technology undergraduate building end-to-end AI systems, including LLMs, RAG, persistent memory, AI agents, computer vision, and security automation. Hands-on with Python, PyTorch, FastAPI, and vector databases, with experience taking ideas from problem definition through working product.

Experience

Technical Core Team / Software Engineering Intern

Startups India · Hyderabad, India

Jul 2026 – Aug 2026

Built production-oriented features in Flutter and Next.js with Firebase-backed authentication, data, storage and push notifications. Developed user onboarding, profile management, community and interaction flows, notification workflows, moderation and reporting systems, and the admin dashboard for managing users, content, reports and platform activity. Contributed to application architecture and backend integration.

Education

2028

B.Tech

Vidya Jyothi Institute of Technology (VJIT)

Information Technology · 2024 – 2028

Information Technology · 2024 – 2028

Skills

<3 months

C SQL RAG MCP Java Dart LLMs NumPy Keras Python Pandas FastAPI PyTorch OR-Tools AI Agents JavaScript TensorFlow TypeScript Embeddings scikit-learn Computer Vision Vector Databases Prompt Engineering Natural Language Processing API Integration Understanding

Tools / apps / platforms

<3 months

Git Groq Docker GitHub Render Vercel Blender Netlify ChromaDB Firebase Supabase Firestore PostgreSQL Hugging Face

Projects

BreakSmith – Application Security Platform

AI, GitHub, Security Analysis, Browser Extension

Built in a 36-hour national-level hackathon to scan public GitHub repositories for exposed secrets, authentication weaknesses, CORS misconfigurations, injection, weak cryptography and dependency issues. Produced severity-ranked findings, a 0–100 security score, remediation guidance and browser-based scanning.
AI Animator / Krita MCP – AI-Assisted Animation System

Python, MCP, Krita, AI Agents

Built a workflow connecting LLM-driven planning to Krita through the Model Context Protocol. Developed tooling for scene planning, drawing operations, character consistency, key-pose planning and frame-based animation.
Aetheris – Modular AI Assistant

Python, FastAPI, ChromaDB, PostgreSQL, Sentence Transformers, LLMs

Architected an assistant built on persistent memory, contextual reasoning, task planning and intelligent request routing. Implemented semantic memory with BAAI/bge-base-en-v1.5 embeddings and ChromaDB retrieval, with PostgreSQL for structured data. Developed pipelines for intent classification, context relevance, task decomposition, planning, reflection and memory evolution.

Courses & certifications

Machine Learning I · Columbia University / Columbia+
Generative AI Foundations · AWS Academy Graduate

🏆 Achievements & awards

1st Place, Mega Hackathon 2026 · 2026

Global Institute of Engineering College – CallShield AI, a system detecting manipulated voice/video and deepfake-enabled fraud calls.
2nd Place, Bharat TechFusion 2K26 · 2026

KG Reddy College of Engineering and Technology – BreakSmith, automated GitHub vulnerability analysis.
Rank #8 of 5,000+

ECWoC (Elite Coders Winter of Code) – Top 20 contributor in an open-source program.

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