Rahul Kamath — Software Engineer
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.
Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in automation and security solutions.
Location: Mangaluru, Karnataka, India
Experience: 4 yrs 6 mos
Skills
- Artificial Intelligence (ai)
- Chatbot Development
- Engineering
- Machine Learning
Career Highlights
- Designed multi-agent LLM systems for workflow automation.
- Developed end-to-end AI tools saving significant engineering hours.
- Recognized for outstanding performance and innovation.
Work Experience
Capillary Technologies
Senior SDE - AI Full Stack (1 yr 1 mo)
Zscaler
Sr SDE (3 mos)
SDE(Cloud & AI) (7 mos)
Ribbon Communications
Software Engineer (2 yrs 8 mos)
VI Solutions, Bangalore
ML Intern (1 mo)
Mangalore Refinery & Petrochemicals LTD - India
Electronics & instrumentation intern (1 mo)
Education
Bachelor of Engineering - BE at Sahyadri College of Engineering & Management
Pre university at Poornaprajna College, Udupi - 576102