I am a Founder, Research Lead, and AI/ML Engineer passionate about building impactful products and solving tough problems. My dual degrees (BCA & MCA) at Amity University reflect a commitment to deep learning—backed by 25+ research publications, 10+ copyrights, and ongoing patents. I love developing open-source projects, contributing to AI communities, and breaking boundaries in ML, LLMs, and RGMs.

• Founder & CEO: Reconfigure — Machine Learning solutions for real-world impact.
• Research Lead: LLMs & Gen AI, 20+ research papers, IEEE & Scopus author.
• Tech Leader: Vice President, Artificial Intelligence Club, Amity University.
• Academic Trainee: HCLTech, Data Analyst & Developer, LG Electronics, Kailash Healthcare.
• Community Builder: Speaker, IEEE societies, Open-source advocate.

Languages: C, C++, Python, Java, JavaScript, MySQL, HTML/CSS, Markdown

Frameworks: Flask, Bash, Powershell, Vercel, Colab, .NET

Technical: Linux, Ubuntu, Windows, RedHat, Data Analysis, Deep Learning, NLP, MLOps (TensorFlow, MMDetection, MMSegmentation, Keras), API Dev, Web Dev (Angular, React, Node.js)

Soft Skills: Problem Solving, Communication, Leadership, Innovation, Project Management, Community Engagement

Research: 25+ Publications (IEEE, Scopus, International Journals/Conferences) | 10+ Copyrights | Patents in progress

• GitHub Contributions: 100+ this year, active on 18 repos.
• Open Source: Core Dev for Reconfigure, Liquid UI, dot-corec.
• IEEE & Scopus: Published and reviewed internationally.
• Awards: Multiple coding and innovation competition wins.
• Languages: English, Hindi (professional proficiency)
• Education:
  • BCA & MCA, Amity University, Noida
  • Training at HCLTech, LG Electronics, Kailash Healthcare

• Tech: Jupyter Notebook, Python, Stable Diffusion, LoRA
• Summary: Run LCM LoRA models (based on stable diffusion with LoRA distillation) on Google Colab for fast, high-resolution image synthesis. Supports SDv1.5, SDXL, and SSD 1B. Try it on Colab and generate realistic images with simple prompts!
• Features:
  • Modular, lightweight model distillation.
  • Free Colab support for experimentation.
  • Community oriented—star and support for updates!
• Get started!

• Tech: C (88%), Python (10%), Batch, Other
• Summary: Python-like syntax transpiler generating optimized, modular C code. Transpile .corc files, see working samples, and leverage modular code generation with memory management and CLI utilities.
• Features:
  • Fast transpilation pipeline (Lexer → Parser → CodeGen → Output).
  • MIT licensed and inviting contributions.
  • Demo suite for Fibonacci, calculator, control flow, GCD, and more.

• Tech: Python (64%), HTML/CSS (36%)
• Summary: Lightweight, modular Python framework for building interactive web user interfaces. Leverage plug-and-play folder structure, demo scripts, extensible HTML templating, and modern CSS assets.
• Features:
  • Python-first component system (buttons, inputs, sliders, uploads).
  • Demo-driven rapid prototyping.
  • State management and reusable grid layouts.
  • Fully open-source, developer friendly!

• Tech: Python, OpenCV
• Summary: Complete pipeline for Object Tracking and Detection using OpenCV in Python. Plug-and-play scripts for object detection and tracking with frame analysis and ID assignment.
• Features:
  • Easy-to-follow code for real-time detection and tracking.
  • Simple install and demo usage.
  • Example code and guidance for beginners.

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"The boundaries of technology exist only to be surpassed."
Feel free to connect, collaborate, star your favorite projects, or just drop a “Hi!”—let’s make technology better together.