ENGINEER · RESEARCHER · BUILDER
Deep Tech, AI, and Autonomous Systems — shipping products
and models where engineering rigor meets human impact.
ABOUT
I am a B.Tech CSE graduate from IIIT Raichur with a keen interest in Machine Learning, NLP, and Agentic AI systems. During my final year, I worked on a research project at IIT Hyderabad under the ANRF–PAIR Program, where I developed a Hawkes Process-based framework for temporal topic prediction that achieved 0.845 AUC-ROC. This experience strengthened my ML fundamentals and taught me how to approach open-ended problems through rigorous experimentation and analysis.
I believe understanding theory is only half the journey. The real test is what you can build with it. This philosophy has led me to build and ship AI-driven projects across finance, HR-tech, NLP, and generative AI, including Supreme IPO, an AI-powered financial application, and ResumeX, a resume intelligence platform. I enjoy taking ideas from rapid prototypes to deployed, usable systems, while also building reliable infrastructure such as MLOps observability and monitoring with Prometheus and Grafana.
What I value most is curiosity, ownership, continuous learning, and creating technology that is genuinely useful. I enjoy collaborating, communicating ideas clearly, and turning ambiguous problems into meaningful solutions. My experiences representing IIIT Raichur at IISc Bangalore and IIT Madras E-Cell, along with developing sustainable technological blueprints for villages in North Karnataka through the TISIT program, reinforced my belief that technology is most meaningful when it creates impact beyond the screen. I aspire to apply AI thoughtfully across sectors such as finance, healthcare, energy, and beyond, building products that solve meaningful problems and improve the way people work and live.
"The best tech is built by people who understand the problem from both sides."
WORK
RESEARCH & DEEP TECH
Investigated multiple continuous and discrete topic modeling frameworks (HTM, DSNTM, LDA-Hawkes). Developed a novel Hawkes Process-based temporal topic prediction model integrating topic intensity modeling, self-attention-based inter-topic influence dynamics, and continuous-time diffusion processes.
OPEN SOURCE
Full-stack text-to-speech app integrating Kokoro-82M TTS and DistilRoBERTa for 7-category emotion classification with dynamic rhythm adjustments across 8 presets. Containerized with Docker for HF Spaces.
Assessed Gangotri glacier retreat using Sentinel-2 NDSI GeoTIFFs, threshold classification, and raster-to-vector analysis. Quantified −425.23 km² (−32.08%) surface ice loss between 2020 and 2025.
Quantitative analysis of 2,500+ Indian startup funding deals (2015–2024). Validated capital concentration with formal statistical hypothesis tests, HHI index, and designed a composite 0-100 Maturity Score.
EXPERIENCE
Technological Innovation for Social Impact and Transformation. Fieldwork collaboration with SVYM Foundation conducting extensive ground-level research to prototype sustainable technological blueprints for rural North Karnataka.
Represented IIIT Raichur at the national level. Competed in business pitching events and case studies, and engaged in founder masterclasses absorbing true entrepreneurial thinking.
Selected among top college scholars to attend the 3-day Computer Science & Automation Summer School at IISc, attending advanced lectures and presentations by leading researchers.
Developed a novel attention-driven Hawkes Process temporal topic prediction framework achieving 0.845 AUC-ROC and 0.923 cosine similarity under national ANRF–PAIR program.
Completed Bachelor of Technology in Computer Science & Engineering at the Indian Institute of Information Technology Raichur with 7.3 CGPA.
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EXPERTISE & PURSUITS
CONTACT
I am always eager to talk with people building at the frontier — whether it is AI Engineering, quantitative deep tech, agentic systems, or early-stage products requiring end-to-end execution.
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