Mangaluru, Karnataka, India
I’m an AI Engineer with over 4 years of experience in Python, AI/ML, REST APIs, and full-stack development, deeply fascinated by computers, problem-solving, and building impactful AI solutions. I thrive under pressure, tackling complex challenges, and continuously learning to deliver innovative, scalable, and production-ready systems. 🔹 Current Work — SDE-II (AI) @ Capillary Technologies • Designed multi-agent LLM systems (SQL Query, API, Payload Creation, Validation, Attributes Agents) to automate workflows and accelerate development. • Building MCP servers using Claude function calling & AI-driven code generation. • Architecting secure authentication & access control for agentic bots & chatbots. • Deploying real-time conversational AI bots for product documentation (WebSocket-based chat) integrated with Slack for org-wide support. • Delivering an end-to-end “language-to-promotion” tool converting natural language into deployable marketing campaigns — saving significant engineering hours. 🔹 Past Experience — Zscaler • Built an LLM-powered AI model processing millions of real-time production data points to enhance cloud product security. • Worked on Advanced Threat Protection, Data Loss Prevention (DLP), URL Filtering, File Type Detection, Image-Text Extraction, and WebSocket Security. • Gained deep expertise in large-scale data processing & security-focused ML solutions. 🔹 Earlier — Ribbon Communications • Developed Python & REST API-based automation infrastructure, improving productivity and simulation processes. • Awards: • For rapid ramp-up & critical project support. • For building in-house automation tools. • Contributed to hackathons, building GUI + backend automation tools now used in production. • Only fresher to present a team project at Ribbon’s IP-WAVE Day. Tech Stack: Python, Django, SQL, AWS, MCP, NLP, TensorFlow, Keras, Pandas, scikit-learn, REST APIs, Power BI, CI/CD (Jenkins), Bitbucket, JIRA, MySQL. Vision: To leverage AI/ML at scale to solve high-impact real-world problems, driving innovation that transforms industries and improves lives.
• Multi-agent LLM systems — Developed specialized agents including SQL Query Agent, API Agent, Payload Creation Agent, Validation Agent, and Attributes Agent to streamline data operations, automate workflows, and enhance accuracy. • MCP Server Development — Designed and deployed Model Context Protocol (MCP) servers leveraging Claude function/tools calling and AI-driven code generation, enabling seamless integration between AI models and business applications. • Authentication & Access Control — Architected a secure auth creation and management system for agentic bots and chatbots, ensuring safe and role-based access across the organization. • Conversational AI for Customer Support — Built and deployed an LLM-powered documentation streaming bot on Capillary’s product webpage, delivering real-time conversational assistance via WebSocket-based chat, and integrated it with Slack to support internal teams with instant, AI-driven responses on products, APIs, and documentation. • End-to-End AI Automation for Marketing — Developed a “language-to-promotion” LLM tool capable of transforming natural language inputs into fully functional marketing promotions — from development and testing to seamless deployment. This agentic bot-driven system significantly reduced manual engineering effort, accelerated release cycles, and saved valuable development hours.
Built an LLM based AI model which data mines millions of realtime data from production to enhance the product/data security over our cloud project. Worked on Advance threat protection, DLP, url filtering, file type detection, image-text extraction and Websockets integrate with Copilot
Designed and implemented infra-level REST API automation processes, reducing R&D effort by 20% through seamless business and system requirements automation. Developed and deployed backend E2E Python automation for SD-WAN Network Planner, integrating CI/CD Jenkins pipelines, conducting regression testing, and performing analysis using Power BI and Pandas. Collaborated with a cross-functional global SCRUM team, working closely with almost 20 marketing and sales teammates to deliver customer requirements ahead of schedule,Also Participated in Bitbucket code reviews. Recognized with 2 prestigious awards, the Spot and Achieve Awards, for outstanding performance, and became the youngest engineer to present on SD-WAN to a global audience of over 500 Ribbon employees. Participated in two company-wide Ribbon Hackathons, with one project advancing to the final 10.