Artificial Intelligence | Machine Learning | Software Engineering
Built end-to-end observability platform for BMC using agentic LLM. Integrated FastAPI, MongoDB, Prometheus, Grafana, LangChain, and Gemini 1.5 to monitor server telemetry and trigger self-healing actions via natural language.
Trained machine learning and deep learning models for human activity recognition using MultiModal Activities for Stress and Health dataset. Classified user activities based on sensor data and evaluated generalization of models using cross-validation.
Built an intrusion detection system using Deep Q-Networks in a custom OpenAI Gym environment on the NSL-KDD dataset specialized to detect DDoS attacks. Designed and implemented a risk-weighted reward function to minimize false positives.
Multi-Agentic construction management network using Crew AI agents and Masumi payment integration. Making the process of bidding, scheduling, payments, and progress tracking more efficient, transparent, and secure.
Leverages Natural Language Processing and Machine Learning to analyze user inputs and predict user personalities with characters from "Game of Thrones" TV series integrating zero-shot learning for high-accuracy personality predictions.
Web API that provides real-time weather information based on user input or IP geolocation. It includes secure authentication using JWT and integrates with MongoDB for persistent user data management.
I am a software engineer with over three years of professional experience at Accenture, specializing in
building scalable systems using AWS, CI/CD pipelines, and REST APIs.
Currently, I am pursuing a Masterβs degree in Computer Science at San Jose State University, focusing on
generative AI, prompt engineering, natural language processing, and cloud technologies.
May 2025 β Aug 2025
Cornell University
Aug 2024 β May 2026
San Jose State University
Dec 2021 β Jul 2024
Accenture
Nov 2020 β Nov 2021
Accenture
Dec 2019 β Apr 2020
Motherson Tech
May 2019 β Jul 2019
UCWL
Aug 2016 β May 2020
Manipal University Jaipur