PRANAVKS.
Building intelligent systems at the intersection of AI research, quantum computing, and production engineering.
Engineering intelligence, one system at a time.
I'm Kondapi Sri Pranav — an AI Engineer and Full-Stack Developer pursuing CSE with a specialization in AI & Visual Intelligence. I'm deeply invested in the intersection of quantum computing, large language models, and real-world system design.
I don't just use AI tools — I build the infrastructure behind them. From agentic LangGraph pipelines and enterprise RAG systems to quantum optimization algorithms competing at IonQ hackathons, I work across the full stack of modern intelligent systems.
Disciplined, detail-oriented, and driven by genuine curiosity — I thrive where theory meets engineering and where the systems I build genuinely move the needle.
Research-First
I understand technologies at a fundamental level before applying them — no black boxes, ever.
Production-Minded
I build for scale, reliability, and maintainability — not just demo-day impressive.
Cross-Domain Thinker
AI, quantum, DevOps, and full-stack — I bridge disciplines others keep separate.
Open to opportunities
Full-time roles, research collaborations, freelance projects, and hackathon partnerships.
kondapisripranav@gmail.com ↗Things I've built.
View all on GitHubQuantum Alpha Copilot
An agentic quantum optimization system that translates natural-language portfolio problems into QAOA circuits. LangGraph-orchestrated pipeline with an MCP server backed by Qiskit — bridging LLMs and real quantum hardware in a single end-to-end system.
RetinaScan AI
CNN-based retinal disease detection and classification system for early-stage ophthalmological diagnosis support.
AutoMind
Unified neural pipeline — voice activity detection, spectral denoising, multi-speaker diarization, and Whisper transcription via REST + WebSocket.
FAQNP
IonQ 2026 hackathon — autonomous agent for quantum entanglement distillation with LOCC-compliant BBPSSW/DEJMPS circuits and adaptive risk management.
SignSense
Real-time traffic sign classifier using CNNs, robust across diverse lighting and angles.
AI Financial Advisor
LLM-powered financial advisor — RAG chatbot with real-time portfolio insights, market sentiment analysis, and 90%+ accurate responses via YFinance.
InfoFlow AI
Enterprise RAG chatbot automating 70% of HR/IT queries with FAISS semantic search and intelligent document ingestion.
Real-Time Fraud Detection
Hybrid anomaly detection — SBERT embeddings + Isolation Forest + LSTM Autoencoder. 95% accuracy, millisecond response on live transactions.
View all projects
github.com/pranavks343
Let's build something remarkable.
Open to full-time roles, research collaborations, freelance projects, and hackathon partnerships. If you have an interesting problem, I'd love to hear about it.