About Me
AI, ML, & Generative AI professional with proven production experience deploying deep learning models and optimizing complex workflows. Consistently translates innovative ideas into robust and scalable solutions.
Skills & Technologies
Work Experience
FullStack Engineer (Intern)
Built a red teaming application with a Django backend and LLM as judge, integrating middleware such as OneSignal and Mailjet.
Software Engineer (Intern)
Served as the primary developer for a client project, automating collateral and loss mitigation processes. Optimized PCI-compliant payment processing across various workflows and ran end-to-end testing to identify data mapping errors.
Data Scientist (Intern)
Optimized ML workflows using Spark and TensorFlow, reducing data processing time by 40%. Developed a real-time streaming pipeline and containerized FastAPI services to ensure module security and maintainability.
Projects
Maritime Surveillance (Live and Anomaly)
Built a real-time Maritime Surveillance System to process live ship positions and detect illegal activities. Implemented a streaming ETL pipeline and developed a Deep Autoencoder for anomaly detection.
Cabal Agentic AI & Cybersecurity
Built a red teaming swarm system where multiple autonomous agents collaborate to simulate real-world attacks against a target application. The backend is powered by FastAPI with SQLite.
Prescripify
Prescripify is a serverless web application designed for doctors to automatically generate prescriptions from patient conversation audio. This project earned first place at the AWS Amplify Hackathon.
TULIP - Tuning Using Lora on Input PDFs
Converted unstructured PDF content into supervised training data using synthetic data generation techniques and fine-tuned a LLaMA model with Low-Rank Adaptation to enhance performance.
Education
Bachelor of Technology
Information Technology