EXPERIENCE

KEY_ACHIEVEMENTS

• >Launched LLAMA-based Python Privacy Advisor Agent using LangChain, sustaining 150+ req/s for over 10,000 users
• >Containerized and deployed Privacy Advisor Agent on Azure VM and Docker with CI/CD, using blue-green releases and health checks to keep sub-second p95 latency and enable zero-downtime rollouts.
• >Implemented RAG pipeline to automate GDPR and CCPA compliance (Data Subject Access Request) generation through Privacy Advisor Agent, cutting average request time from 30 mins to 4 secs and raising submission volume 8-fold
• >Implemented data-protection guardrails with PII redaction, least-privilege Role Based Access Control, and Azure Monitor alerts, maintaining 100 percent compliance and 0 security incidents through 10,000 production runs

TECH_STACK

KEY_ACHIEVEMENTS

• >Developed a full-stack Data Maturity Assessment web app (Next.js + SQL) that replaced manual spreadsheet audits, cutting report-turnaround time from days to under 10 minutes per client
• >Engineered an ACID-safe REST API with transaction-safe inserts, achieving 100% data integrity for 500+ pilot surveys

TECH_STACK

KEY_ACHIEVEMENTS

• >Developed decision-making code in Python, enabling attacking and defending behaviors in autonomous soccer-playing robots
• >Containerized ROS-based localization systems using Docker, cutting team-wide deployment and debugging times by 40%
• >Fine-tuned YOLOv5 Computer Vision Model in Python, using custom datasets to accurately identify objects, achieving a 20% performance boost compared to initial models
• >Optimized localization using Particle Filtering and Monte Carlo Localization, reducing positional errors by 15%

TECH_STACK