Sudipto Bera

Product Manager

Delhi, India5 yrs 1 mo experience

AI EnabledHighly Stable

Key Highlights

Expert in Generative AI and data engineering.
Proven track record in building enterprise chatbots.
Skilled in optimizing data workflows and pipelines.

Stackforce AI infers this person is a Generative AI and Data Engineering specialist in the SaaS and Fintech sectors.

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Skills

Core Skills

Generative AiData EngineeringGeographic Information Systems (gis)

Other Skills

PythonPL/SQLLLM-assisted data validationanomaly detectionSQL optimizationGenAI analyticsGIS automationweb scrapingdata validationLangChainFAISSOpenAI modelsStreamlitPrompt EngineeringLLMOps

About

AI Engineer with 4+ years of industry experience in automation and data engineering, now specializing in applied Generative AI solutions. Hands-on experience building RAG-based systems, enterprise chatbots, and document intelligence platforms using Python, LangChain, Azure OpenAI, FastAPI, and vector databases. Strong foundation in SQL / PL-SQL, data pipelines, and scalable API integration, enabling reliable production-grade AI systems. Passionate about solving real-world business problems using Generative AI and continuously improving applied LLM workflows. Open to opportunities in Generative AI Engineer / AI Engineer roles.

Experience

5 yrs 1 mo

Total Experience

5 yrs 1 mo

Average Tenure

5 yrs 1 mo

Current Experience

2 roles

Analytics Specialist

– Present

Developed Python + PL/SQL pipelines to prepare AI-ready datasets for risk scoring and anomaly detection.
Implemented LLM-assisted data validation and AI-based anomaly detection, reducing false positives in customs assessments by 15%.
Built automated data transformation scripts to streamline ingestion and enrichment workflows.
Designed and optimized complex SQL queries to improve database performance and report efficiency.
Partnered with cross-functional teams to embed GenAI analytics into reporting systems, enabling data-driven decision-making.

PythonPL/SQLLLM-assisted data validationanomaly detectionSQL optimizationGenAI analytics+2

Technology Specialist

– Present

Led a 20-member team to automate geospatial data workflows, improving update efficiency by 50%.
Developed Python-based web scrapers (Requests, BeautifulSoup, Pandas) to collect and standardize location intelligence data.
Automated GIS data validation and mapping operations, reducing manual intervention and human error.
Designed and optimized SQL queries for spatial data management, improving query performance by 30%.
Supported navigation feature testing and category mapping (L1–L4), ensuring high data accuracy.
Delivered client-focused automation solutions, improving turnaround time for map updates and integration.

PythonGIS automationSQL optimizationweb scrapingdata validationGeographic Information Systems (GIS)+1

Tata consultancy services

System Engineer – Generative AI & Data Engineering | TCS

Apr 2021 – Present · 5 yrs 1 mo

🔹 Bayer Global – Generative AI Solutions
Designed and deployed RAG-based Generative AI systems using Python, LangChain, FAISS, and OpenAI models for intelligent document search and contextual Q&A
Built enterprise chatbots (PdfChatbot, LangChainChatbot) using Streamlit and Chainlit, accelerating knowledge retrieval and decision-making
Applied Prompt Engineering, LLMOps, FastAPI, and Azure AI Studio for scalable GenAI deployment
Engineered ClaimTrackr, an AI-driven insurance automation platform, reducing manual validation effort by 40%
🔹 CBIC RMS – Risk Analytics & AI
Built AI-ready datasets using Python and PL/SQL for analytics and GenAI integration
Implemented LLM-assisted anomaly detection, reducing false positives by 15%
Integrated AI-driven insights into reporting workflows for faster decision-making
🔹 HERE Technologies – GIS Automation
Led a 20-member team to deliver Python-based automation for geospatial workflows
Improved data update efficiency by 50% through automation and SQL optimization
Built web scrapers and spatial data pipelines to enhance accuracy and performance