Backend & AI Engineer | Building Scalable Systems, AI Agents & RAG Platforms | Go • Python • Node.js | Ex-GetBasis | Ex-Camry Labs | M.Tech AI @ IIIT Lucknow | MTS-II @ Omnissa (Formerly VMWare)

Bengaluru

On-site

Pune City

Bengaluru







Master of Technology - MTech, Computer Science
Indian Institute of Information Technology Lucknow

Bachelor of Technology - BTech, Electrical and Electronics Engineering
Vellore Institute of Technology (VIT)
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Download Tal BossBackend & AI Engineer | Building Scalable Systems, AI Agents & RAG Platforms | Go • Python • Node.js | Ex-GetBasis | Ex-Camry Labs | M.Tech AI @ IIIT Lucknow | MTS-II @ Omnissa (Formerly VMWare)
Most companies don't struggle because they lack data—they struggle because their systems can't turn data into decisions fast enough. I've spent the last 5+ years solving exactly that problem by building scalable backend platforms, intelligent automation systems, and AI-powered applications that transform complexity into business outcomes. From architecting high-performance APIs and distributed microservices to developing Retrieval-Augmented Generation (RAG) platforms, AI agents, and real-time analytics systems, I've focused on one thing: building systems that scale reliably while delivering measurable impact. At Basis, I engineered financial products that improved customer engagement and increased user retention by 50%. At Camry Labs, I developed and scaled core platform services, automated business workflows, reduced operational effort by 40%, and helped drive user growth through intelligent product engineering. Currently pursuing an M.Tech in Artificial Intelligence at IIIT Lucknow while working at Omnissa (formerly VMware), I'm focused on the intersection of backend engineering, AI systems, agentic workflows, RAG architectures, and cloud infrastructure. My core expertise includes: • Go, Python, Node.js, TypeScript • Distributed Systems & Microservices • AI Agents, RAG, MCP, LangChain, LlamaIndex • FastAPI, Gin, REST & gRPC • PostgreSQL, MongoDB, Redis, Vector Databases • Docker, Kubernetes, AWS, Terraform & CI/CD I enjoy solving hard engineering problems, designing scalable architectures, and building AI-powered products that create real business value. If you're building intelligent systems, AI infrastructure, backend platforms, or high-scale products, let's connect.
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Member of Technical Staff II at Omnissa, Jul 2026 - Present · 3 mos, Bengaluru
Summer Intern at Omnissa, Jul 2025 - Jun 2026 · 1 yr, On-site
10x Engineer,Founding Member at Griffy, Jul 2023 - Aug 2024 · 1 yr 2 mos, Pune City, Referral & Order Matching Accomplished a 20% reduction in workflow processing time by architecting and scaling referral, order-matching, and KYC APIs using Node.js and TypeScript, resulting in faster transaction execution and improved platform efficiency. Frontend Leadership Accomplished a 25% increase in customer satisfaction by leading development of React-based customer applications, resulting in improved usability and engagement. Automation Accomplished a 40% reduction in manual operational effort by automating social-media workflows using Firebase and GCP Cloud Functions, resulting in higher team productivity and faster campaign execution. Telegram Bot Accomplished a 24% increase in user acquisition by designing and launching a real-time Telegram engagement platform, resulting in higher customer interaction and retention. Cloud & DevOps Accomplished improved release reliability and service scalability by containerizing applications with Docker and implementing AWS-based CI/CD pipelines, resulting in faster and safer deployments.
Software Engineer at Basis, Mar 2022 - Jul 2023 · 1 yr 5 mos, Bengaluru, Database Optimization Accomplished a 70% reduction in API response latency by redesigning PostgreSQL and MySQL schemas and optimizing query execution plans, resulting in significantly faster customer experiences. Spending Insights Accomplished a 30% improvement in customer financial visibility by building a real-time analytics platform that categorized spending across merchants and transaction types, resulting in higher product engagement. LMS & Rewards Accomplished a 20% increase in user satisfaction by delivering LMS and rewards platform capabilities, resulting in improved customer retention and platform adoption. Redis Optimization Accomplished higher platform throughput and responsiveness by integrating Redis-based caching for session management and high-traffic endpoints, resulting in improved scalability during peak usage periods.
Master of Technology - MTech, Computer Science, Indian Institute of Information Technology Lucknow
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Vellore Institute of Technology (VIT)