seemant kaushal

About Me

Software Engineer and AI/Data Science enthusiast with experience building production-grade intelligent systems, scalable backends, and data-driven platforms. I work across backend engineering and applied AI, focusing on shipping reliable, secure, and performance-oriented features in real product environments.

What I’m good at

• Backend & API engineering: Building scalable REST APIs with FastAPI, designing clean service architecture, and working with PostgreSQL/MySQL/NoSQL for high-utility product features.
• Security & access control: Implementing RBAC, permissioned workflows, and audit-friendly approval processes for multi-user systems where security and traceability matter.
• Real-time systems: Developing real-time experiences using WebSockets for concurrent multi-user interactions (e.g., chat and live updates).
• AI/ML & time-series: Applying machine learning, deep learning, NLP, and time-series modeling (including TFT) to build predictive systems like failure detection and forecasting use-cases.
• LLM & agentic workflows: Building conversational AI and multi-agent pipelines using LangChain/LangGraph, including NL→SQL style systems with schema awareness, error handling, and safety checks.
• Data & analytics: Experience with ETL-style pipelines, SQL-heavy analysis, and Power BI dashboards to turn large datasets into actionable insights.

Experience highlights

I’ve contributed to multi-tenant, multi-user products where backend reliability, authorization, and workflow correctness are key—covering everything from database schema design and optimized queries to real-time communication and secure approvals. In parallel, I’ve built AI-driven capabilities such as enterprise chatbot backends and agent-based systems that translate natural language into structured actions, combining strong backend fundamentals with practical ML/LLM integration.