I’m Kalidass V, a results-driven Machine Learning Engineer focused on Generative AI and LLM solutions, with 12+ years of overall IT experience and deep hands-on work across RAG architectures, fine-tuning, and agentic workflows. I enjoy building practical, production-ready AI systems that help teams retrieve the right knowledge, automate complex workflows, and improve decision-making with measurable accuracy and efficiency gains. In my recent work at Datamatics Global Services (Azure OpenAI, LangChain/LangGraph, hybrid RAG, and MLOps), I’ve designed end-to-end AI solutions like enterprise chatbots and ML-powered ticket automation, optimizing retrieval and prompt flows to reduce hallucinations and unnecessary LLM calls. I also bring strong cloud and deployment expertise across AWS and Azure, along with a track record of mentoring teams and integrating ML outputs into dashboards and APIs so stakeholders can trust and act on the results.

Kalidass V

I’m Kalidass V, a results-driven Machine Learning Engineer focused on Generative AI and LLM solutions, with 12+ years of overall IT experience and deep hands-on work across RAG architectures, fine-tuning, and agentic workflows. I enjoy building practical, production-ready AI systems that help teams retrieve the right knowledge, automate complex workflows, and improve decision-making with measurable accuracy and efficiency gains. In my recent work at Datamatics Global Services (Azure OpenAI, LangChain/LangGraph, hybrid RAG, and MLOps), I’ve designed end-to-end AI solutions like enterprise chatbots and ML-powered ticket automation, optimizing retrieval and prompt flows to reduce hallucinations and unnecessary LLM calls. I also bring strong cloud and deployment expertise across AWS and Azure, along with a track record of mentoring teams and integrating ML outputs into dashboards and APIs so stakeholders can trust and act on the results.

Available to hire

I’m Kalidass V, a results-driven Machine Learning Engineer focused on Generative AI and LLM solutions, with 12+ years of overall IT experience and deep hands-on work across RAG architectures, fine-tuning, and agentic workflows. I enjoy building practical, production-ready AI systems that help teams retrieve the right knowledge, automate complex workflows, and improve decision-making with measurable accuracy and efficiency gains.

In my recent work at Datamatics Global Services (Azure OpenAI, LangChain/LangGraph, hybrid RAG, and MLOps), I’ve designed end-to-end AI solutions like enterprise chatbots and ML-powered ticket automation, optimizing retrieval and prompt flows to reduce hallucinations and unnecessary LLM calls. I also bring strong cloud and deployment expertise across AWS and Azure, along with a track record of mentoring teams and integrating ML outputs into dashboards and APIs so stakeholders can trust and act on the results.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Advanced

Work Experience

Associate ML Engineering at Datamatics Global Services Limited
June 1, 2023 - Present
Architected and developed an end-to-end GenAI chatbot for the Asian Development Bank using Azure OpenAI (GPT-4.5), LangChain, and hybrid RAG (BM25 + semantic retrieval). Built a scalable system spanning web UI, FastAPI services, a Databricks knowledge repository, retrieval and prompt workflows, and LLM response generation. Optimized retrieval/prompt pipelines to reduce unnecessary LLM calls, improve accuracy, minimize hallucinations, and lower overall cost. Also built an ML-powered ticket management system for ADB Singapore to automate ticket classification, prioritization, and routing. Delivered end-to-end ML pipelines including ingestion, preprocessing, feature engineering, model training (logistic regression, random forest, XGBoost, SVM, clustering methods), rigorous evaluation (accuracy/precision/recall/F1/ROC-AUC and regression metrics), and production deployment with monitoring and retraining triggers.
Team Lead – Procurement & Finance at Capgemini Technology India Pvt Ltd
March 1, 2020 - May 31, 2023
Led design and optimization of database architecture to enhance query performance, ETL throughput, and reporting efficiency across procurement and finance domains. Developed and integrated ML models in Python (classification/regression such as logistic regression, random forest, XGBoost) and exposed predictions via REST APIs (Flask/FastAPI) into Power BI dashboards. Built interactive Power BI reporting with advanced DAX measures for ML-driven KPIs, automated pipelines using Python and Power Query, and reduced manual reporting effort. Mentored junior team members and drove adoption of standardized AI/ML workflows.
Power BI Developer – L&D Domain at GP Strategy India Pvt Ltd
August 1, 2019 - March 31, 2020
Developed interactive Power BI dashboards and reports for Learning & Development performance tracking. Designed data models, relationships, and transformations using Power BI Desktop and Power Query, and created complex DAX measures and KPIs. Integrated multiple data sources (SQL Server, Azure, Excel, and APIs) into Power BI and set up scheduled refresh in Power BI Service to support automated reporting.
Senior Analyst – Banking Domain at Standard Chartered Bank (Scope International)
July 1, 2017 - August 31, 2019
Built Power BI dashboards by integrating data from SQL Server and Azure SQL DB. Automated Excel-based workflows using VBA and supported creation and maintenance of shared content packs for business users across departments. Contributed to data quality and governance initiatives and ensured consistent reporting delivery.
Senior Analyst – Healthcare Domain at AGS Health
April 1, 2016 - July 31, 2017
Prepared and distributed MIS reports for the Customer Service Business Unit and healthcare teams on weekly, monthly, and daily cycles. Developed Excel/Access dashboards for in-depth analysis and generated actionable insights for operational and management teams.
Senior Analyst – Finance Domain at TATA Consultancy Services
June 1, 2012 - March 31, 2016
Architected database solutions, tuned SQL queries, optimized ETLs, and built reporting infrastructure for finance operations. Delivered multi-year expertise in VBA, MS Access, and Excel dashboarding by automating data imports, report generation, and internal workflow tasks. Prepared daily progress reports to track internal KPIs and targets for customer support teams.
Analyst at Pathfinder Business Analysis Pvt Ltd
May 1, 2008 - May 31, 2012
Analyst at VH Pvt. Ltd
July 1, 2005 - November 30, 2008

Education

MBA at Bharathiyar University, Coimbatore, India
January 1, 2010 - January 1, 2010
B.A. at Bharathiyar University, Coimbatore, India
January 1, 2004 - January 1, 2004

Qualifications

AWS Machine Learning – Specialty Knowledge
January 11, 2030 - August 31, 2026
Azure AI & Machine Learning
January 11, 2030 - August 31, 2026
Google Cloud Vertex AI
January 11, 2030 - August 31, 2026

Industry Experience

Software & Internet, Financial Services, Healthcare, Professional Services, Education