Open to opportunities

Kunal Sharma

@kunalsharma3

Message

I am a MERN developer building scalable applications with AI and microservices.

India

Message

What I'm looking for

I seek an entry-level role building scalable MERN applications and production ML/GenAI systems within an agile, collaborative team that values deployment, observability, and technical growth.

I am a MERN stack developer focused on building scalable web applications, API integrations, and resilient microservices. I work in agile teams and bring strong problem-solving and debugging skills to production systems.

On the Khareedo project I architected a full‑stack MERN microservices ecosystem to support distributed transactions, achieving sub‑300 ms response times for 100+ concurrent sessions and improving uptime by 30% through enhanced monitoring and logging.

My AI work includes a resume classification system with Random Forest delivering 98% accuracy and an interactive summarization app using BERT via Hugging Face. I also re‑implemented and optimized MRI reconstruction models in PyTorch using self‑supervised approaches and benchmarked them on FastMRI and IXI.

I am pursuing a B.Tech in Computer Science (expected July 2026) with a CGPA of 7.51 and have solved 250+ DSA problems across major platforms. I seek roles where I can combine web engineering, ML/GenAI, and deployment to drive impact and technical growth.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

AI Powered Resume Summarization

May 2025 - Jul 2025 (2 months)

Developed a resume classification system using Random Forest achieving 98% accuracy and deployed an interactive web application integrating BERT-based summarization via Hugging Face for real-time text summaries.

Python scikit learn Hugging Face BERT fastAPI ReactJS Deployment

MERN Developer

Khareedo Web Application

Jan 2025 - Apr 2025 (3 months)

Architected a full-stack MERN microservices ecosystem enabling distributed transactions; supported 100+ concurrent sessions with sub-300 ms response times and improved system uptime by 30%.

ReactJS MongoDB Microservices Docker AWS S3 Monitoring

Research Engineer

IMJENSE Reimplementation

Jan 2025 - Apr 2025 (3 months)

Re-engineered and optimized MRI reconstruction models in PyTorch for k-space data using self-supervised, scan-specific deep architectures and benchmarked implicit neural representation frameworks on FastMRI and IXI datasets.