Currently

A small snapshot of what has my attention right now.

Building

AI-assisted research workflows

Tools that connect spectroscopy, scientific literature, and automation—making complex research information easier to search, interpret, and use.

Exploring

Signals hidden in noisy data

How generative models can recover meaningful molecular information from measurements that are weak, incomplete, or low resolution.

Open to

Thoughtful collaborations

Research and scientific-software problems where AI can support the science without becoming the entire story.

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What I Do

AI & Machine Learning

Designing advanced models that turn complex scientific and technical data into actionable insights. My work spans deep learning, transformer architectures, GAN-based spectral enhancement, and NLP systems that understand research papers and automate scientific analysis.

Full Stack Development

Building reliable, high-performance applications that support modern AI workflows. I develop end-to-end platforms from frontend interfaces to backend systems-optimized for data processing, automation, and seamless integration with machine-learning pipelines.

Research & Innovation

Exploring futuristic ideas at the intersection of spectroscopy, computational science, and AI. My work focuses on developing new AI algorithms, publishing findings, and pushing practical innovation in data-driven chemistry, biophysics, and intelligent analytical tools.

Technical Solutions

Creating tailored, domain-specific systems that solve challenging problems. From OCR and research-analysis pipelines to web crawlers, automated RAG workflows, and spectroscopic data engines, I build tools that simplify complexity and deliver real-world impact.

Portfolio Highlights

Key achievements and qualifications

Education

  • Ph.D. (2025) - IIT Delhi, AI & ML, Chemistry
  • M.S. (2018) - Kurukshetra University, Chemistry
  • B.S. (2016) - Kurukshetra University, Physics, Chemistry & Math

Key Achievements

  • 18+ Publications - Including ACS, RSC, Wiley
  • 1 Patent - AI-driven spectral enhancement
  • CSIR-UGC NET JRF - AIR 83 & 89

Core Expertise

  • • AI/ML: GANs, CNNs, Transformers, RAG
  • • Programming: Python, PyTorch, TensorFlow
  • • Domain: AI, Spectroscopy, Computational Chemistry

Recent Recognition

  • Early Doc Fellowship - IIT Delhi 2025
  • Best Poster Prize - HealthTech Horizons
  • International Presentations - USA & Rome
View Complete CV & Portfolio

Latest Work & Insights

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