ML Engineer building AI, data, and developer systems that actually ship.

I like turning ambitious ideas into working products, from autonomous coding agents and RAG systems to audio ML, computer vision, and scalable data platforms.

I am an ML Engineer with experience across research and industry, working on production ML systems, data engineering workflows, semantic search, backend-heavy AI applications, and cloud-based delivery.

I hold an M.S. in Computer Science from the University of Texas at Arlington with a 4.0 GPA. My background spans August IT, Astrosoft Technologies, UTA, Samsung PRISM, and hands-on work in machine learning, audio analysis, computer vision, retrieval systems, and big data tooling.

• Applied AI and ML systems
• LLM apps, RAG, and search
• Audio and speech-related ML
• Computer vision
• Data engineering and scalable pipelines
• AI-powered developer tools

• Building autonomous and agentic software systems
• Designing ML workflows that are practical, reliable, and production-minded
• Exploring multimodal AI, audio intelligence, and language technology
• Working across AWS, Azure, backend systems, and modern ML stacks

• Autonomous Builder: A local-first autonomous software-building system that researches approaches, generates competing implementations, evaluates them, critiques them, learns from the results, and picks the strongest code path.
  

• Twitter Sentiment Analysis: Sentiment modeling with BERT, CNN, LSTM, and hybrid architectures for multi-class Twitter entity sentiment.
  

• Highway Lane Segmentation: A UNet-based PyTorch project for lane segmentation in autonomous driving and road safety scenarios.
  

• ATS Resume Scorer: A resume evaluation app that uses LLM-based analysis to compare resumes against job descriptions.
  

• Ocular Disease Detection Web Application: A transfer-learning-powered medical vision app for cataract prediction.
  

• Portfolio Website: A deeper look at my projects, experience, and technical stack.

• ML Engineer, August IT | April 2025 to Present
• ML Engineer, Astrosoft Technologies | January 2025 to April 2025
• Research Assistant, University of Texas at Arlington | September 2024 to January 2025
• Graduate Teaching Assistant, University of Texas at Arlington | August 2023 to May 2024
• Research Intern, Samsung PRISM | May 2021 to November 2021
• Data Science Intern, Ismriti - IIT Kanpur | June 2019 to July 2019

• Built production-oriented ML and data systems across cloud and backend stacks
• Developed a campus-scale RAG system at UTA that reduced retrieval time by 40% and improved search relevance by 35%
• Worked on audio source separation at Samsung PRISM using TensorFlow, UNets, and Librosa
• Built projects across sentiment analysis, medical vision, language tools, distributed systems, and big data environments

• LLM systems and AI product ideas
• Audio, speech, and multimodal ML
• Computer vision applications
• Data engineering and analytics platforms
• RAG, search, and developer tooling

If you're building something interesting in AI, ML, data, or developer tools, feel free to reach out.

Building useful AI systems, not just model demos.