About · Harsh Sharma · AI/ML & Full Stack Developer
I am Harsh Sharma, an aspiring software developer with a strong focus on AI / ML and full stack development. I build production-ready, scalable solutions with clean architecture — from predictive ML models to LLM-powered APIs and interactive data-driven interfaces.
01 — Background
I am Harsh Sharma, an aspiring software developer with hands-on experience in Python and real-world machine learning. I have built predictive models for healthcare and real estate — end-to-end, from data preprocessing to deployment — which gave me a strong foundation in applied ML and clean system design.
I am proficient in backend and full stack technologies including FastAPI and Django, and I have developed scalable web applications and RESTful APIs that are built to last under production conditions.
My AI/ML skillset spans Hugging Face, LangChain, and Streamlit — tools I use to build intelligent applications, LLM-powered workflows, and interactive data-driven interfaces that move beyond prototypes into real products.
I am comfortable with modern development tools including Docker, Git, GitHub, and JavaScript, allowing me to manage the full lifecycle from development through version control to deployment. I have a startup-oriented mindset and continuously advance my skills in modern software engineering and system design.
02 — Technical Skills
03 — Featured Work
Healthcare · ML
A machine learning pipeline built to predict clinical outcomes from structured healthcare data. Covers data preprocessing, feature engineering, model selection, evaluation, and deployment-ready output.
Real Estate · ML
An end-to-end predictive model for real estate pricing using regression techniques and domain-specific feature engineering. Designed with clean architecture for easy extension and deployment.
LLM · Backend
A FastAPI-based backend integrating LangChain and Hugging Face models to serve intelligent endpoints. Supports multi-step LLM workflows with clean RESTful API design and scalable architecture.
AI Automation
An intelligent pipeline that connects LLMs with real-world APIs, executing multi-step workflows autonomously. Built to reduce manual effort and integrate AI into practical daily operations.
04 — Experience & Education
NIMS University, Jaipur. Coursework in machine learning, deep learning, neural networks, data structures, system design, and software engineering.
Built real-world predictive models for healthcare and real estate. Delivered end-to-end solutions covering data pipelines, model training, evaluation, API serving, and deployment.
Developing scalable backend APIs with FastAPI and Django. Building LLM-powered applications using LangChain and Hugging Face, packaged with Docker for clean deployment.
Running an independent engineering lab for experiments in AI automation, intelligent tools, and production-quality software systems. Focused on startup-minded product development.
05 — Principles
I build with deployment in mind from the start. Clean architecture, scalable design, and working prototypes that can grow into real products.
I integrate AI to reduce friction and amplify capability — not as a demo, but as a real layer in practical systems that solve concrete problems.
I actively advance my skills in modern software engineering, system design, and emerging ML tooling to stay sharp and build better over time.
Open to work — internships, collaborations, and opportunities in AI, ML, and full stack engineering.