Bhupendra Rajput

Career

Roles, teams
and what I built

3.8 years across backend engineering, GenAI architecture and applied ML — from a startup market-research tool to enterprise anomaly detection.

Dec 2025 — Mar 2026
Quytech
India
Python Backend Developer
GenAI Engineer
  • Built market research and survey automation tools, accelerating creation workflows via AI-based question schema generation
  • Developed a survey converter and compiler for the Decipher platform, streamlining processing and validation pipelines
  • Integrated LLM-based question generation to reduce manual effort and improve output consistency
Apr 2025 — Aug 2025
Aether AI
Gurugram, Haryana
AI Engineer
  • Architected multi-channel conversational AI agents spanning WhatsApp, phone, Telegram, email, and web chat — enabling seamless omnichannel customer interaction
  • Built scalable Python backends capable of handling concurrent multi-channel communication streams
  • Implemented Model Context Protocol (MCP) to maintain conversation continuity across sessions
  • Integrated real-time STT and TTS pipelines for fully voice-enabled AI interactions
Jul 2023 — Mar 2025
TechBridge Soft Innovation
Gurugram, Haryana
AI Engineer
  • End-to-end ML pipelines with Isolation Forest for UEBA — detecting unauthorized access attempts and suspicious login patterns
  • File integrity monitoring (FIM) solutions to detect unauthorized modifications across enterprise environments
  • Built an internal RAG-based chatbot using Llama 3, Hugging Face embeddings, and FAISS for efficient knowledge retrieval
  • Deployed ML models to production with Evidently AI for continuous model monitoring and data drift detection
Mar 2022 — Jun 2023
Pro Web Squad
Delhi
Data Analyst
  • Delivered data-driven insights across multiple client projects at a web development and market research company
  • Conducted end-to-end market research analysis including data collection, cleaning, and visualization to support strategic business decisions
  • Monitored and analyzed web performance metrics and user behavior data, providing actionable reports to optimize client websites
  • Built dashboards and reports using Python, Matplotlib, and Seaborn to track KPIs for internal and client-facing projects
  • Collaborated with cross-functional teams to translate complex data findings into clear, concise business recommendations

Next Chapter

Looking for an AI Engineer
or Solution Architect?

Get in Touch See Projects ↗