MS in CS at UCLA
Los Angeles, USA
Pursuing an MS degree at UCLA in computer science with a focus on safe and trustworthy AI
About Me & My Work
I am an enthusiastic builder and researcher focused on creating explainable and trustworthy AI systems, with a core research goal of developing reliable, data-driven solutions to pressing societal challenges. Alongside research and software development, I enjoy badminton, football, and sports analytics. Beyond computers, I am pursuing my interests in languages and working toward becoming a certified pilot.
My work is best represented by this living record of the places, people, and questions shaping my academic and professional journey.
ICWSM Global Initiative 2026
Princeton, USA
Collabroation with Prof. Manoel Ribeiro at Princeton University on analysing moderation patterns and failures on Moltbook
ECCV Conference 2026
Malmo, Sweden
Spoke about a novel concept-level LLM unlearning benchmarking targeting the removal of harmful intents and preserving overlapping benign capabilities.
SIGIR Conference 2026
Melbourne, Australia
Presented research benchmarking LLM information integration from web sources in low-resource environments.
ICRA Conference 2026
Vienna, Austria
Presented industry work from KnowledgeVerse AI for academic discussion.
ACM WebSci Conference 2026
Braunschweig, Germany
Explored whether language models know when and what to search through web-focused behavior.
ICPRAM Conference 2026
Marbella, Spain
Presented research on knowledge graphs for improving self-detection of LLM hallucinations.
eCampus Research Collaboration 2026
Novedrate, Italy
Research collaboration with Prof. Antonio Luca Alfeo on ontology frameworks and LLMs
IASEAI Conference 2026
Paris, France
Discussed LLM generalization and the inconsistency of feasibility assessments at UNESCO headquarters.
ICAART Conference 2026
Marbella, Spain
Presented idempotent-driving constraints and i-Check, improving response stability while reducing cost.
Zurich GenAI Awards 2026
Zurich, Switzerland
Won 3rd place in Impact Achiever for a trustworthy voice AI system connecting farmer opinions to policymakers.
Lisbon Machine Learning Summer School (LxMLS 2025)
Lisbon, Portugal
Presented a method quantifying LLM self-knowledge using generation-validation consistency.
ACL Conference 2025
Vienna, Austria
Proposed TeXpert, a benchmark for natural-language prompts that generate scientific LaTeX.
NAACL Conference 2025
Albuquerque, USA
Shared a methodology for studying LLM self-knowledge and capability awareness.
Pre-ACL Workshop 2025
Copenhagen, Denmark
Presented research on memorized solutions and model self-knowledge about reasoning ability.
FAO-CAAS Agriculture Hackathon 2024
Sanya, China
Awarded second place for a quniue voice-driven AI system connecting farmer opinions to policymakers.
IEEE ICCCEE 2023
Pune, India
Proposed a quadtree system for fair, automatically demarcated constituency boundaries.
Smart India Hackathon 2023
Chandigarh, India
Achieved first place from 5,000+ entries for a government contact-center knowledge management tool.
Professional experience
Mastercard
Software Engineer II
Jan 2026 – Aug 2026 · Pune, India
- Redesigned the data architecture for the Click2Pay and Secure Card-on-File systems, serving over 14 million transactions per month.
Mastercard
Software Engineer I
Jun 2024 – Jan 2026 · Pune, India
- Integrated AI agents into Apache data flows, reducing transaction settlement and clearance time by nearly 35%.
- Supported distributed automated billing batches handling over a million transactions in 6 global regions.
KnowledgeVerse AI
AI Research Consultant
Jun 2024 – Aug 2026 · Atlanta, United States (Remote)
- Led 5+ research projects on LLM benchmarks for trustworthiness and explainability, published in ACL and NAACL.
- Built 80+ custom agentic AI workflows for critical client applications.
Stride.ai
Applied Scientist Intern (NLP)
Sep 2023 – Jun 2024 · Bangalore, India
- Led a scalable production NLP system processing 40,000 words in under 2 minutes across 17 domains.
Barclays
Software Engineer Intern
Jun 2023 – Aug 2023 · Pune, India
- Used SQL partitioning to reduce query time of post-trade transaction databases to less than 89% of the original.
- Automated monitoring for 90+ million transactions across 35 distributed servers.
Association for Socially Applicable Research
Data Analyst
Mar 2023 – Jun 2023 · Pune, India
- Designed geocoded data-ingestion workflows supporting easy access to almost a million emergency health centres in India.
Education & training
M.S. Computer Science
University of California, Los Angeles (UCLA)
September 2026 – June 2028
- Pursuing a Master’s degree focused on NLP and safe AI at the Henry Samueli School of Engineering.
Lisbon Machine Learning Summer School (LxMLS 2025)
Instituto Superior Técnico
July 2025
- Grade: 4.0/4.0.
- Invited with a full Google scholarship to present research on LLM self-knowledge.
B.E. Computer Engineering
Pune Institute of Computer Technology
July 2020 – April 2024
- Grade: 9.78/10.
- Recipient of the Late Ajay Prabhakar Nene Award and fellowship for the 1st rank among 8200 students across the University of Pune.
Skills
Artificial Intelligence
Natural Language ProcessingLarge Language ModelsMachine LearningAgentic AIModel Fine-TuningModel Benchmarking
Programming Languages
C++PythonJavaScriptUnix/Linux
Database Management
SQLSQL ServerNoSQLConcurrency
Data Science & Engineering
Apache HadoopApache NiFiApache SparkBig DataData Analytics
Web Development
HTMLCSSFastAPIFlaskJavaScript LibrariesGit
Cloud Computing
AWSMicrosoft AzureDocker
Languages
EnglishMarathiHindiGermanJapanese