Programming
PythonSQLR
CJavaHTMLCSS
AI Systems | Generative AI | Production ML
Harshit Dabas
AI/ML Engineer
I build production-grade AI systems across RAG, multimodal document intelligence, and applied machine learning. My focus is reliable end-to-end delivery: from model workflows to deployment architecture and scalable user experience.
Technical Skills
Focused stack for AI product engineering and machine learning systems.
AI / Machine Learning
Machine LearningDeep LearningNLP
Computer VisionLLMsPrompt Engineering
GenAI and Platform
RAGLangChainVector Search
DockerFlaskFastAPI
PostgreSQLMongoDBSupabase
Featured Projects
Selected products with live deployments and production workflows.
Remembrance
LiveFull-stack AI voice journaling platform using Python, Flask, MongoDB, and OpenAI APIs for real-time transcription with Whisper-1, semantic retrieval with GPT-4o Mini and text-embedding-3-small, and LangChain-powered RAG summaries across weekly, monthly, and yearly journals.
FlaskWhisperRAG
MongoDBDockerRedis
Nginx
Open Project
AI Grading Assistant
LiveAI-powered grading system that evaluates DOCX, PPT, and PDF assignments with rubric-aware scoring and structured feedback generation, including batch processing for large academic workflows.
PythonStreamlitOpenAI
ClaudeBatch Processing
Open Project
ResuMakeover
LiveResume and career-content generation app for executive summaries, project bullets, LinkedIn content, and cover letters using multi-provider LLM support and robust form workflows.
FlaskOpenAIClaude
Prompt Engineering
Open Project
Prompt Engineering Library
In ProgressStructured prompt patterns and implementation notes for reliable LLM outputs across analysis, extraction, ranking, and generation workflows.
LLMPrompt DesignEvaluation
Documentation
Open Library
Contact
Open to collaborations on AI product, RAG, and machine learning systems.