Arghyadeep Mondal

Data and AI Engineer with 4.5 years at TCS, progressing from process automation to full-stack GenAI pipeline development. Skilled in Analytics, Automation and agentic AI systems, with a track record of delivering measurable operational improvements.

GenAI Engineer at Tata Consultancy Services (2021-12 – Present)

GenAI Engineer focused on building production-grade AI systems and automation pipelines

• Built production-grade RAG assistant with LangChain, Azure OpenAI & Django REST, reducing onboarding 40%
• Designed agentic reporting pipeline with Local LLM, FLUX, cutting report generation time 75%; under enterprise testing
• Implemented human-in-the-loop guardrails in GenAI pipeline, achieving near-100% accuracy in critical workflows
• Engineered structured prompting frameworks with schema validation, tone control, reducing LLM hallucination 40%
• Built scalable PySpark pipeline on Oracle DB, reducing dashboard refresh from 4 hours to 20 min, 98% accuracy
• Automated account and certificate expiry workflows via Power Automate, reducing application failures 30%
• Delivered Power BI dashboards with DAX and dataflows, improving SLA compliance from 85% to 95%
• Led knowledge transfer sessions for 6-member cybersecurity analytics team, improving response time 70%

System Engineer at Tata Consultancy Services (2021-12 – Present)

System Engineer role at TCS

Master of Science in Computer Science – Banaras Hindu University (2019 – 2021)