Sankalp Singh

AI / Backend Engineer with hands-on experience building production-oriented AI applications, LLM workflows, RAG systems, conversational automation, and REST APIs. Strong in Python, FastAPI, LangGraph, LangChain, PostgreSQL, Docker, CI/CD, and backend architecture. Experienced in stateful workflow design, API integrations, caching/session concepts, and cross-functional project coordination, with a focus on scalable and reliable AI products.

SDE-I (AI / Backend) at Tecnvirons Private Limited (2026-07 – 2026-08)

Converted from Developer Intern to a full-time SDE-I role based on technical contribution, ownership, and performance across AI and R&D initiatives.

• Engineered backend services for AI-powered WhatsApp and conversational automation workflows using Python, FastAPI, LangGraph, REST APIs, and WhatsApp Cloud API.
• Designed stateful conversation flows, session persistence, and modular workflow/state management using LangGraph with PostgreSQL / Supabase.
• Applied backend system-design principles including service modularity, API abstraction, caching/session-state patterns, retry/fallback handling, and clear separation of application responsibilities.
• Worked with Redis-oriented caching and session-state concepts to support responsive, stateful backend workflows and reduce repeated processing where applicable.
• Contributed to LLM applications, AI assistants, chatbot systems, telecalling automation, analytics/recommendation workflows, and research-driven engineering initiatives.
• Collaborated across project teams with ownership of technical tasks, debugging, integration, documentation, and delivery in a fast-paced environment.

Developer Intern (AI / Backend) at Tecnvirons Private Limited (2025-12 – 2026-07)

• Built an AI-powered WhatsApp chatbot with FastAPI and LangGraph to automate diagnostic appointment workflows.
• Implemented autonomous conversation flows, session persistence, and state management using LangGraph and Supabase PostgreSQL.
• Integrated WhatsApp Cloud API for template messaging, interactive actions, and backend automation with production-oriented API workflows.
• Contributed to LLM-based applications, intelligent assistants, conversational AI, telecalling automation, and analytics/recommendation initiatives.

Machine Learning Intern at Prodigy Infotech

• Developed and optimized regression, classification, and clustering models using Python and Scikit-learn.
• Built NLP-based text classification pipelines achieving 92% accuracy on large-scale datasets.

B.Tech in Computer Science and Engineering – UEM Jaipur (2022 – 2026)