Bengaluru, Karnataka, India
AI/ML Engineer at Esyasoft & Graduated in Computer Science Honors at BITS Pilani, Hyderabad Campus with hands-on experience across AI/ML engineering, backend development, cloud infrastructure, and full-stack product building. Over the last 2 years, I’ve worked on building and shipping systems involving LLM applications, RAG workflows, backend APIs, cloud deployment, and reliability-focused AI products. My work has included developing AI-driven applications with structured outputs and validation, building backend systems using Python, Django, and PostgreSQL, and working with cloud-native infrastructure using Kubernetes, GKE, Terraform, Helm, Prometheus, and Grafana. I enjoy taking products from idea to execution — whether that means building MVPs, designing backend workflows, improving system reliability, or supporting deployment in production-like environments. I’m especially interested in roles where I can contribute across both engineering depth and product execution. I’m currently seeking new graduate opportunities where I can contribute to building reliable AI products, scalable backend systems, and production-ready software in fast-moving teams.
1)Building AI-Copilots for Energy & Utility Enterprises . 2)Creating ML Models for EDA , Prediction and Forecasting based on large real time database on our MS Sql Servers .
Risk Engineering - Intelligence & Autonomous Systems for AI Agents , Co-Pilot & AI ChatBots .
1) A)1st Project around Fully Autonomous Helm Multi Cluster & Service- Drift Detection . B)2nd Project around Automated Terraform Provision with GenAI x Clusters, helping Developers, SRE & Non Backend Coders & reducing their time by 45% of manual effort . C)3rd Project was AI Native GKE Ops Assistant for helping Non Cloud Devs with Tasks or Information based in GKE & GCP. 2)Debugging Tasks based on JIRA tickets like adding security mail arm alerts , nodepools , etc . 3)Prom/Grafana - SLOs & alerts. 4)On-call: decision to sync/rollback, postmortems, runbook updates. 5)Debugging failed run pipelines in ArgoCD . 6)Cluster creations for non prod usage & testing through Terraform Module . 7)GKE resources management & deployment in various clusters , helping investors reducing cloud cost of cloud operations & deployment of company by 38% .
1)Researching and prototyping an AI agent from scratch, for integration into MVP , for smarter & faster search ups & resolution of consumer queries by 3x times of our competitors. 2)Studying and implementing LLM best practices for AI assistants and agent use-cases. 3)Optimising LLM for multimodal travel suggestions, for 4x faster & better response than the competitors . 4)Designing & Demo applications of iframe widgets for plug & play feature access for B2B Partners. 5)Cold Outbound, Marketing & Communications for the startup through Social Media grounds making it 15% more visible than usual.
1)Designed State of Art of Prototype Landing Page, Website & Demo-MVP of the product, helping investors & potential consumers go over core features 2x faster than regular buildups . 2)Frontend Development of Prototype Landing Page & Website. 3)Strategic Planning, Management & Communications for the startup, increasing their reach through Social Campaigns making them 20-25% more visible than usual.