Compiling ideas...
Hyderabad, India

Hi, I'm Apoorva Sai Karthikey

Computer Science · Full-Stack · AI/ML

Building intelligent, scalable products at the intersection of full-stack engineering and AI/ML.

ASKarthikey
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About Me

I engineer AI-powered products and full-stack systems that turn ambitious ideas into working software.

From RAG pipelines and AI agents to vector search, semantic systems, and production web applications, I enjoy building at the intersection of software engineering and applied AI. I bring strong foundations in C++, Python, JavaScript, Java, and SQL, backed by competitive programming, hackathons, and hands-on engineering.

B.Tech CSE

VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad

CGPA 9.38/10.02023–2027

Intermediate (MPC)

Narayana Junior College

98.9%

/ AI/ML

RAGAI AgentsVector DatabasesPrompt EngineeringSentence TransformersMiniLMOllamaLangChainHugging FaceMCP

/ Languages

C++PythonJavaJavaScriptTypeScriptC

/ Frameworks

React.jsNext.jsNode.jsExpress.jsFastAPITailwind CSS

/ Tools

ClaudeGitHub CopilotCodexAntigravityCloudinaryGit/GitHub

Experience

Head of Mentorship

Masters Coding

Mar 2025 – Jul 2026

Leading 15+ mentors, guiding 500+ students in open-source development and full-stack collaboration.

Team Lead

Industry Training, VNRVJIET

Aug 2025 – Dec 2025

Led a 10+ member team across frontend, backend, and AI development. Resolved technical/coordination challenges. Integrated AI-based feedback with backend APIs and frontend workflows.

AI-Native Full-Stack Intern

JMR Infotech

Jun 2025 – Jul 2025

Used AI-driven tooling to convert Figma designs into production-ready Angular code, cutting dev time by 60%. Integrated AI-assisted workflows for component generation and iterative UI refinement.

Notable Projects

AI Event Monitor – AI Threat Monitoring Platform

AI Event Monitor – AI Threat Monitoring Platform

AI-powered real-time safety platform processing CCTV streams with multi-model ONNX inference to detect fire, crowding, and stampede risks. Engineered an FFmpeg-based inference and risk aggregation pipeline. Delivered instant alerts via Socket.IO, SMS, and FCM. Integrated RTSP/HLS streaming, Supabase, JWT, and MongoDB. Used LLM-based summarization to transform detection data into clear, human-readable incident reports.

ONNXFFmpegSocket.IOMongoDBSupabaseJWTFCMNode.jsExpress.jsReactViteTailwind CSS
MediSense – Smart Medicine Management

MediSense – Smart Medicine Management

AI-powered medication management platform that converts prescriptions into actionable medication schedules using OCR, then keeps patients on track with intelligent reminders and adherence monitoring. Supports automated alerts for missed doses, low medication stock, and expiry events, with role-based workflows for patients, caregivers, and healthcare providers, plus adherence dashboards, prescription history, and PDF report generation.

OCR.space APIJWTnode-cronMongoDB AtlasChart.jsjsPDFNode.jsExpress.jsReactTailwind CSS
AI Interview Trainer

AI Interview Trainer

AI-powered interview simulation platform that transforms a candidate's resume, job description, and target role into personalized technical and behavioral interviews. Combines Ollama-powered question generation, multimodal emotion analysis using Wav2Vec2 and facial-expression models, and Sentence-Transformer semantic scoring to evaluate answer relevance, communication, confidence, and overall interview performance.

Hugging FaceOllamaGoogle GeminiSupabaseGoogle/GitHub OAuthMERN
AI ResearchHub

AI ResearchHub

AI-powered research workspace for discovering, organizing, and interrogating technical literature through semantic retrieval and intelligent paper curation. Built a hybrid search pipeline over 100+ research papers across 20+ AI/ML taxonomies, combining vector embeddings with metadata indexing, and integrated Gemini + Ollama for contextual paper summarization, research Q&A, and faster knowledge discovery.

OllamaGeminiSentence-TransformersPineconeFaissMongoDBSupabaseFastAPINext.js
SEFS (Semantic Entropy File System)

SEFS (Semantic Entropy File System)

AI-powered document intelligence platform that automatically ingests, organizes, and makes large file collections searchable and conversational through a real-time processing pipeline. Engineered multi-format extraction, SHA-256 deduplication, FAISS vector indexing, and semantic agglomerative clustering with LLM-generated labels, with a live dashboard supporting semantic search, RAG-based Q&A, WebSocket updates, knowledge graphs, spatial exploration, and timeline views.

OllamaFAISSscikit-learnUMAPAgglomerative ClusteringWebSocketsTypeScriptFastAPIReactTailwind CSS

Achievements & Stats

Competitive Profiles

LeetCode

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CodeChef

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Codeforces

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Awards & Recognitions

Zignasa Hackathon 2025

Winner

GenAI Forge Hackathon

Runner-up

Smart Interviews

Diamond Certified, Global Rank 873

Turing Cup 2026

Finalist

Inter IIT CP Conclave

Participant

Hacktoberfest 2024

4 PRs merged

CodeFrenzy

Top 2%