About the Developer

Aarav Kashyap Singh is a 21-year-old AI Engineer and Full Stack Developer based in India, driven by a passion for solving human problems with intelligent systems. He focuses on building production-grade AI systems, backend workflows, and automation tools that address real-world issues rather than just creating demos or tutorials. Aarav is currently available for freelance, consulting, and selective full-time roles.

Selected Work

• ClearFlow: An AI-powered bank statement intelligence system designed to transform messy PDF and scanned documents into categorized, validated Excel output for finance operations. This system includes document ingestion, extraction, validation, and export capabilities, built with technologies like OCR, LLMs, FastAPI, Gemini Vision, Claude Haiku, PyMuPDF, and React.
• CryptoQuant: A live crypto forecasting workspace that integrates streaming market data, sequence models, and visual backtesting. It provides market streams, forecasting models, confidence intervals, and clean charting within a single analysis loop, utilizing TensorFlow, FastAPI, React, Supabase, CCXT, and Framer Motion.
• TalentMatch: A semantic resume screening platform that scores candidates based on meaning rather than keyword matching, aiming to improve hiring decisions. It features resume parsing, semantic scoring, and recruiter-focused analysis views, built with FastAPI, spaCy, ONNX Runtime, Sentence-Transformers, React, and PostgreSQL.

Expertise

Aarav possesses a focused technical stack built for shipping real products rapidly and reliably. His expertise includes:

• Backend Depth: Proficient in Python, JavaScript, TypeScript, and SQL, with extensive experience in frameworks and tools like FastAPI, Node.js, Docker, PostgreSQL, MongoDB, Supabase, and cloud platforms like AWS, Vercel, and Render.
• Frontend & Product: Skilled in creating considered interfaces using React, Next.js, Vite, Tailwind CSS, and Framer Motion, ensuring a seamless connection between the backend and the user experience.
• AI/ML & Infrastructure: Deep knowledge in AI/ML model selection, agent orchestration, NLP, and retrieval systems, utilizing tools such as Claude, Gemini, OpenAI, LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow, spaCy, and ONNX Runtime.

Capabilities

Aarav offers end-to-end ownership of projects, specializing in:

• AI-Powered Backends: Building robust AI workflows from messy inputs to reliable outputs, including agentic RAG, guardrails, and evaluation systems.
• Full Stack Applications: Developing coherent products from schema to surface, managing system design, UI delivery, and deployment.
• Document Intelligence: Transforming raw documents like PDFs and statements into structured, auditable output using vision models and extraction pipelines.
• Custom AI Integrations: Weaving language models into existing products for workflow automation, internal copilots, and API tooling.

He is committed to shipping production-grade AI systems, sharp product surfaces, and workflows that are reliable and maintainable.