Recent Activity
February 25th 2026
AkashGuard took 2nd place in the Akash Track at the Open Agents Hackathon in San Francisco. We built an autonomous self-healing agent for decentralized cloud deployments on Akash Network that monitors services, uses Llama 3.3 70B via AkashML to diagnose provider failures, and automatically redeploys workloads across providers with a real-time dashboard, Telegram alerts, and multimodal voice and image summaries (Venice AI) for operators.
February 21st 2026
Built Cactus Voice, an on-device voice-to-action web application that uses Cactus for Whisper-based speech transcription and FunctionGemma for intelligent function routing. The app turns spoken or typed natural language into real actions like weather, music, timers, and reminders via a FastAPI backend and WebSocket-powered dark UI, with all transcription and routing running locally for low-latency, privacy-preserving control.
February 20th 2026
Participated in the AWS x Anthropic x Datadog GenAI Hackathon 2026 at the AWS Builder Loft, San Francisco. My team built DealGraph, an AI-powered due diligence copilot for venture capital investors that extracts verifiable claims from pitch decks, routes them to graph, web, and LLM verification, and delivers confidence-scored investment analysis with competitive intelligence and voice-narrated deal memos.
January 31st 2026
Participated in the Gemini 3 SuperHack 2026 at Studio By Tishman Speyer in San Francisco. My team built GlassesToReels, an AI pipeline that turns smart glasses footage into shareable social clips using Google Gemini for video analysis and moment detection, with auto captions, score-style graphics, and a FastAPI backend with upload/download dashboard.
January 10th 2026
Participated in the MongoDB Agentic Orchestration and Collaboration Hackathon 2026 at Shack15 in San Francisco. My team built the Legal Strategy Council, a multi-agent AI system where specialized agents collaborated through multi-round deliberation, conflict detection, and real-time synthesis, utilizing MongoDB Atlas as a persistent coordination and memory layer.
June 9th 2025
Internship at The University of Texas System was extended and converted into a post-graduate internship, reflecting continued impact and contributions across enterprise application development, workflow optimization, and system modernization initiatives.
May 16th 2025
Graduated from The University of Texas at Dallas with a Master's degree in Business Analytics and Artificial Intelligence, with a minor in Machine Learning, completing advanced coursework in NLP, LLMs, predictive analytics, and large-scale data systems.
May 9th 2025
Secured 1st place in a Kaggle competition by fine-tuning transformer-based models (including QLoRA-enabled LLMs) for multi-label emotion classification. Designed evaluation pipelines and prompt-testing harnesses to compare classification and generation-based labeling under strict GPU constraints.
December 12th 2024
Made it to the top 4 out of 28 teams in Conagra Brands supported Data Analytics competition at UTD where we created advanced panel regression models in Python with 84% adj. R-squared to predict sales of the Gardein line of products. I also identified key KPIs and optimized product assortments through advanced clustering models, achieved a 25% increase in sales across diverse regions in the USA within the first quarter
November 4th 2024
Secured an internship as IT Student Associate in the Office of Chief Information Officer at UT System
July 30th 2024
Presented the Truck Fleet Analytics project at AZ National Trucking, where we built a distributed data-processing and analytics pipeline to analyze over 50,000 fleet records. Leveraged Apache Spark and Hadoop to identify high-risk driver behavior, uncover violation patterns, and generate compliance insights. Designed aggregated risk-scoring models and visual summaries that reduced manual compliance checks by 30% and improved risk assessment accuracy by 25%, enabling data-driven operational decisions for fleet management.
October 11th 2023
Secured an on-campus job in Parking and Transportation Services at UTD
August 21st 2023
Joined The University of Texas at Dallas to pursue 'MS in Business Analytics and Artificial Intelligence' with a minor in 'Machine Learning'
May 4th 2023
Showcased findings of developing an efficient neural network that improved photometric redshift estimates by 70% thereby reducing estimation time, at the 10th ICICSE. The event was sponsored by Springer and the Computer Society of India.
Mar 14th 2022
Earned the Infosys Insta Award for successfully developing and deploying a multilingual chatbot using Microsoft Bot Framework and Azure LogicApps for customer support, resulting in a 13% increase in client leads.
March 3rd 2021
Joined Infosys as 'Systems Engineer', I'm officially an Infocian
August 3rd 2020
Completed my Bachelor's degree in Computer Science and Engineering from Global Academy of Technology, Bangalore, India
Jul 1st 2020
'Virtual Reality: The New Reality', my first writing was published in CSI Communications July 2020 Edition
View PublicationMarch 16th 2019
Achieved a top 10 ranking out of 65 teams in a 24-hour hackathon called 'Hackwell,' organized by Honeywell. This project utilized a Convolutional Neural Network (CNN) algorithm, enabling the model to train on images to predict whether logic circuits overlap and to determine if the circuits are contained within their designated grid or extend into another grid.