About Me
Hi, I am a recent Mtech Graduate from M S Ramaiah Institute of Technology, I previously had 1.5 years of fulltime Work experience from TCS as an SAP analyst. I am Good in AI/ML, RAD, Agentic AI, Computer Vision, cloud an…
Hi, I am a recent Mtech Graduate from M S Ramaiah Institute of Technology, I previously had 1.5 years of fulltime Work experience from TCS as an SAP analyst. I am Good in AI/ML, RAD, Agentic AI, Computer Vision, cloud and product development, Python. Currently I am looking for a jobs in AI, ML and sata science.
Experience
Project Trainee – AI Cloud and Product Development
<p>Building cloud-native agentic AI products using Python, LLM APIs, RAG pipelines, and multi-agent orchestration</p><p> Implementing multi-agent workflows for autonomous decision-making across enterprise use cases</p>
Project Intern – Computer Vision & Deep Learning
<p>Built real-time drone detection system using YOLOv8, achieving 82.5% [email protected] on real-world surveillance data</p><p> Implemented multi-object tracking pipeline reducing false positives by 40% in complex, cluttered environments</p>
Assistant Systems Engineer – SAP Cloud Services
<p>Managed SAP cloud infrastructure for enterprise clients, maintaining 99% system uptime and reliability</p><p> Reduced production incidents by 30% through automated monitoring, PowerShell scripting, and proactive database optimisation</p><p> Achieved 95% SLA compliance by resolving critical system issues in collaboration with cross-functional teams</p>
AI Portfolio
AI / ML Engineer
AI projects
AI-Powered Pharmaceutical Quality Inspection System (Industry-Funded)
Automated vial detection and defect classification achieving 96.9% [email protected] – detects sealed, unsealed, and damaged vials • Designed high-throughput real-time inference pipeline and software architecture to replace manual inspection in pharmaceutical production • BoT-SORT multi-object tracking ensures zero double-counting, precise defect localisation, and product-level traceability
AI Business Intelligence Agent
Groq LLM (Llama 3.3 70B) | GraphQL | PostgreSQL | Replit | Monday.com | BI 2026 • Built and deployed full-stack AI web application answering natural language queries on live Monday.com project data using Groq LLM • Engineered compression pipeline shrinking token payload from 60K to 5K tokens, resolving LLM API rate limits • Stores query history in PostgreSQL for reference and analytics.
PROJECTS
AI-Powered Pharmaceutical Quality Inspection System (Industry-Funded)
<p>Designed high-throughput real-time inference pipeline and software architecture to replace manual inspection in pharmaceutical</p><p>production</p>
AI Business Intelligence Agent
<p>Built and deployed full stack AI web application answering natural language queries on live Monday platform. Project data using LLM. Engineered compression pipeline shrinking token payload from 60K to 5K tokens, resolving LLM API rate limits</p><p>Stores query history in PostgreSQL for reference and analytics.</p>