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GEMBALI DINESH

@gembalidinesh

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Lead Data Scientist specializing in scalable AI/ML and LLM solutions.

India

Message

What I'm looking for

I seek roles where I can lead production-grade AI/ML systems, mentor teams, and deliver measurable product impact in a collaborative, product-driven environment with strong MLOps and scalability focus.

I am a Lead Data Scientist with over six years of experience building and deploying scalable AI/ML solutions across NLP, recommendation systems, computer vision, and MLOps. I translate complex product problems into data-driven solutions using cutting-edge technologies such as LLMs, PyTorch, Neo4j, MLflow, and Azure OpenAI.

I have a proven track record of improving model performance and driving product adoption — examples include architecting a Neo4j-powered personalized recommender that increased user acceptance rate by 80% and deploying production-grade RAG chatbots and LLM guardrails to enhance security and engagement. I have led cross-functional teams to migrate legacy data platforms and significantly reduce processing times.

I take an engineering-first approach to MLOps and productionization, delivering end-to-end systems from data pipelines and drift detection engines to model retraining and monitoring. I prioritize measurable business impact, operational reliability, and continual improvement of models in production.

Experience

Work history, roles, and key accomplishments

Current

Senior Specialist Data Scientist

Current

AT&T Communication Services India Pvt Ltd

Aug 2025 - Present (4 months)

Designed and deployed LLM guardrails and integrated OpenTelemetry and Arize into a LangGraph-based FastAPI chat platform to enhance real-time fraud detection, tracing, and LLM security/privacy compliance.

LLM LangGraph fastAPI OpenTelemetry Arize Fraud Detection Azure OpenAI MLOps

Data Scientist

Magicbricks Realty Service Pvt Ltd

Oct 2023 - Aug 2025 (1 year 10 months)

Architected a multimodal RAG LangGraph chatbot and a Neo4j-powered personalized recommender, increasing user acceptance rate by 80% and driving 8,000 additional monthly contact conversions; led a 4-person team to migrate pipelines reducing processing time by 84%.

RAG LangGraph Neo4j Recommendation Systems Kubernetes Azure OpenAI Snowflake Hadoop

Data Scientist

Refactor Academy

Nov 2022 - Oct 2023 (11 months)

Improved time series forecasting to 7% MAPE and co-developed optimization algorithms that increased recommendation acceptance by 25%, while building modular ML pipelines with CI/CD and feedback loops to reduce redundancy and bottlenecks.

Time Series Forecasting Optimization CI CD Hyperparameter Tuning regression A B Testing

Senior Data Scientist

TVS Motor Company Pvt Ltd

Jun 2019 - Nov 2022 (3 years 5 months)

Developed graph-based customer identification and six classification models achieving 86% AUC, automated timeseries forecasting across 7,000+ SKUs reducing MAPE by 40%, and deployed content-based recommendation and geospatial models to improve retention and workshop capacity.

Classification Time Series AUC Optimization Azure Recommendation Systems Geospatial analysis Model Monitoring

Data Scientist Intern

Reliance Industries Pvt Ltd

May 2018 - Jul 2018 (2 months)

Optimized HRSG power output via fuel-demand balancing, improving system efficiency by 12% during an industrial internship.

Process Optimization Data Analysis Energy Systems Python Statistical Modeling

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Madras

Bachelor of Technology, Mechanical Engineering

2015 - 2019

Grade: CGPA 8.08

Activities and societies: Relevant coursework included Python, MLOps Specialization, Kubernetes, Generative AI, PySpark, Forecasting, Deep Learning, GNN, Operations Research, NLP Specialization, PyTorch, Data Structures and Algorithms.

Bachelor of Technology in Mechanical Engineering with a CGPA of 8.08, covering coursework in Python, MLOps, Generative AI, Deep Learning, GNNs, and NLP.