Sandeep Kshirsagar
Summary
Microsoft and Google certified Lead AI/ML Engineer with proven track record of designing scalable AI Systems and pipelines within the Energy, Telecom and Banking domains. Expert in engineering high scale Agentic systems and Multi-Agent workflows across Azure AI Foundry and Vertex AI. Specialist in Production-grade ML, LLMOps and CI/CD with a proven ability to bridge the gap between AI research and scalable software that reduced model deployment cycles by 55%. Deep expertise in governed data pipelines, experiment tracking (MLflow) and Enterprise AI Governance, delivering robust, high-performance solutions that drive measurable business ROI.
Overview
17
17
years of professional experience
1
1
Certification
Work history
National Grid ESO (via Tata Consultancy Services )
AI/ML Lead Engineer
London, United Kingdom
2023.03 - 2026.03
- Designed and deployed a production-grade Agentic RAG system using LangGraph and MCP that combined structured grid data and unstructured operational reports through semantic chunking and vector retrieval to validate 14-day MW forecasts which improved forecast explainability by 40%.
- Developed Multi-Agent orchestration layer (A2A) to automate the extraction of supply/demand agents data across 500+ assets that transformed raw data into actionable grid-stability insights which reduced manual reporting workload for operators by 25%.
- Designed LLM as a Judge evaluation framework to continuously assess agentic workflows using deterministic and generative metrics to improve response accuracy and maintain enterprise safety standards.
- Implemented AI observability, self-reflective retrieval loops and safety guardrails using NeMo Guardrails to monitor reasoning traces and hallucinations.
- Architected and led the hands-on development of an enterprise PEF MLOps platform built on containerised microservices and event-driven pipelines that enablied scalable deployment of critical energy forecasting products.
- Automated the end-to-end LLM/ML lifecycle (ingestion, training, and monitoring) using CI/CD that enabled environment promotion (Dev/Staging/Prod) and governance.
- Reduced model time-to-market by 55% by designing modular and reusable assets pipelines for data preparation, inference and environment promotion.
EBM Software Pvt Ltd
Senior ML Engineer
London, United Kingdom
2022.08 - 2023.01
- Developed NLP based hierarchical classification model that ingested ERP GL account names and structured account IDs and automatically mapped them to multi-level financial statement hierarchies with confidence scoring.
- Deployed the end-to-end solution using Azure MLOps including data preprocessing, feature engineering from textual, model training and inference pipelines for seamless enterprise integration.
British Telecommunications (BT Group)
AI& ML Engineer
Birmingham, United Kingdom
2021.12 - 2022.08
- Developed knowledge Extraction pipeline for large-scale text corpus with Semantic Extraction using pretrained T5 model, BERT word-sense disambiguation(WSD) and Constituent Parsing with AllenNLP.
- Optimized T5 model to reduce model size by 3x and increase the inference speed up-to 5x by converting into ONNX and quantize using FastT5 library.
- Deployed CSIM (customer service insight and management) ML multiple multivariate timeseries model on GCP which help identify the expensive customer journeys to Openreach and Proactively intervene them.
TechMahindra Ltd
Lead Data Scientist
Birmingham, United Kingdom
2019.06 - 2021.12
- Developed autoencoder-based fraud system on GCP using a Champion-Challenger framework which reduced false positives by 12%.
- Implemented GBT pipeline to forecast Probability of Default which considers behavioural data to improve the Gini coefficient by 5% for capital allocation.
- Developed a Survival Analysis model to identify high value churn risks which in turn integrates outputs into CRM to automate retention offers and reduce attrition by 5%.
Virtusa Consulting Services
Senior Data Scientist
Hyderabad, India
2018.09 - 2019.05
- Automated the process of directing the customer issues to the respective development team to increase revenue by 20%.
- Automated ML models deployment using Azure CI/CD pipelines and monitored the data drift in production.
Medtronic Pvt Ltd
Software Engineer II
Hyderabad, India
2015.07 - 2018.09
- Built ML classifier to identify defective piece of signia handle produced during manufacturing using product images.
- Analyzed the reload transactions data and designed an analytical framework that will help customer to identify segments of customers based on the reload usage and, further classify the customers based on the segments.
Rockwell Collins Pvt Ltd
Tech Lead
Hyderabad, India
2009.09 - 2015.07
- Developed Hmap multithreaded display application using C++ POSIX library on Green Hills Integrity RTOS .
Education
PG Diploma - AI and ML
Carnegie Mellon University
USABachelor's - Computer Science
SGGSIE&T
IndiaSkills
- Python, Hugging Face Transformers, Scikit-learn
- Azure AI Foundry, Azure Machine Learning (SDK v2), Vertex AI
- Azure OpenAI Service, LangGraph, LangChain, Semantic Kernel, Google ADK
- RAG, Conversational AI, Text Embeddings, Semantic Chunking, Vector Retrieval
- PySpark, BigQuery, Spanner, Dataflow, Firestore
- MLflow, Kubeflow, Model Deployment & Monitoring
- TensorFlow, PyTorch, Time Series Forecasting
- Microservices Architecture, Event-Driven Architecture, Docker,Kubernetes Azure DevOps (CI/CD), Git
Certification
- Microsoft certified Azure Data Scientist
- Google Cloud Certified Professional Data Engineer
References
References available upon request.
Timeline
National Grid ESO (via Tata Consultancy Services )
AI/ML Lead Engineer
2023.03 - 2026.03
EBM Software Pvt Ltd
Senior ML Engineer
2022.08 - 2023.01
British Telecommunications (BT Group)
AI& ML Engineer
2021.12 - 2022.08
TechMahindra Ltd
Lead Data Scientist
2019.06 - 2021.12
Virtusa Consulting Services
Senior Data Scientist
2018.09 - 2019.05
Medtronic Pvt Ltd
Software Engineer II
2015.07 - 2018.09
Rockwell Collins Pvt Ltd
Tech Lead
2009.09 - 2015.07
Bachelor's - Computer Science
SGGSIE&T
PG Diploma - AI and ML
Carnegie Mellon University