Headline

Serial Entrepreneur | Conversational AI | Fin-Tech | E-commerce

About

I’m an AI Software Engineer focused on building production-grade AI systems that move beyond demos and actually execute real-world workflows. My work sits at the intersection of Agentic AI, Generative AI, backend engineering, and full-stack product development. I enjoy taking an AI product from an idea to a working system — designing the agent architecture, building APIs and orchestration layers, integrating data and tools, creating the user experience, and deploying it reliably to production. Most recently, I’ve been building Toosi, an AI-native outbound sales platform where multiple specialized agents work together across prospect discovery, company and people intelligence, ICP generation, research, sequence creation, email outreach, reply intelligence, and automated follow-ups. The platform combines LLM reasoning with deterministic workflows, tool calling, human-in-the-loop controls, observability, evaluation systems, and production integrations. My technical focus includes LLMs, multi-agent systems, RAG, agent orchestration, prompt and context engineering, AI evaluation, structured outputs, tool/function calling, web intelligence, data enrichment, and workflow automation. I’m equally comfortable building the surrounding software infrastructure required to turn AI into a usable product: Python, FastAPI, TypeScript, React, NestJS, PostgreSQL, Redis, Docker, Kubernetes, AWS, REST APIs, distributed systems, crawlers, and data pipelines. Before working extensively on GenAI systems, I built machine-learning platforms, recommendation systems, large-scale crawling infrastructure, API platforms, data pipelines, and cloud services. That background strongly influences how I approach AI engineering today — with an emphasis on reliability, scalability, evaluation, observability, and measurable outcomes, rather than treating an LLM as the entire application. I’m particularly interested in opportunities where I can build AI agents, intelligent workflows, AI-native products, and scalable software systems that solve meaningful business problems from end to end. Areas I work across: Agentic AI · Generative AI · LLM Applications · Multi-Agent Systems · RAG · AI Agents · AI Evaluation · Python · FastAPI · TypeScript · React · NestJS · PostgreSQL · AWS · Docker · Kubernetes

Location

Bengaluru

AI stack

claude code

claude

cursor

langchain

langgraph

langsmith

Work experience

Senior Software Engineer at Toosi Travel, Jul 2023 - Present · 3 yrs 3 mos, Bengaluru, Karnataka, India, • Architecting Toosi, an AI-native outbound platform with agents for prospect discovery, ICP generation, research, outreach, reply intelligence, and follow-ups. • Building multi-agent workflows, LLM orchestration, RAG, tool calling, structured outputs, evaluation, and human-in-the-loop systems. • Spearheaded the development of an AI-powered hotel concierge, enabling guests to discover destinations, get contextual recommendations, ask questions, and request hotel services — such as towels or other amenities — directly through conversational AI.

Senior Machine Learning Engineer at Cataloging.Ai, Nov 2021 - Nov 2023 · 2 yrs 1 mo, Bengaluru, Karnataka, India

Senior Machine Learning Engineer at Text Mercato Solutions Pvt Ltd, Apr 2021 - Nov 2023 · 2 yrs 8 mos, Implemented a secure API gateway from scratch with Auth0 and usage logging in NestJS. Scaled ML services on Kubernetes to support 1K+ concurrent users and established CI/CD for in-house ML services. Led development of a web platform for product catalog enrichment and management, working across backend services and user-facing workflows. Built backend services for real-time price tracking and analysis using NestJS, MongoDB, and Elasticsearch.

ML Ops Engineer at Text Mercato Solutions Private Limited, Apr 2021 - Aug 2022 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, Text Mercato offers high quality content writing services through their vast network of professional content writers helping you set your brand apart.

Back End Developer at Togggle, Built backend services in NestJS for a decentralized KYC solution and contributed to the DevOps delivery pipeline.

Education

Post Graduate Diploma, Machine Learning and AI, International Institute of Information Technology Bangalore

M.Sc., Machine Learning & AI, Liverpool John Moores University

Public links

github: https://github.com/sanjeet-toosi