Available to hire
I am a Generative AI Engineer and Data Analytics professional with over 4.5 years of experience delivering production-grade LLM systems and scalable cloud data platforms. I specialize in building RAG pipelines with vector databases, LangChain orchestration, and fine-tuning domain-specific models using LoRA and PEFT.
I have hands-on experience with Azure Data Factory, Databricks, and Spark for automated ETL and lakehouse design. I am strong in MLOps, observability, and governance, turning PoCs into reusable enterprise microservices while mentoring teams to drive data-driven decisions. Open to relocation.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Fluent
French
Intermediate
Hindi
Fluent
Work Experience
Data Analyst at Tata Consultancy Services
February 1, 2024 - February 1, 2024Engineered scalable data pipelines using Azure Data Factory, Databricks, and Spark, integrating diverse data sources into Synapse and Snowflake to support analytics, forecasting, and decision making. Automated cleaning, transformation, and feature engineering with SQL, Python, and dbt, reducing manual workload by 25 percent while improving the reliability and accuracy of reporting datasets. Designed and delivered Power BI dashboards and executive reports, implementing DAX optimizations, incremental refresh, and row level security to provide actionable insights and drive operational efficiency. Conducted advanced analytics including A/B testing, cohort analysis, and time series forecasting to identify growth opportunities, optimize campaigns, and improve customer retention strategies.
Generative AI Engineer at Tata Consultancy Services
May 1, 2025 - May 1, 2025Delivered production grade LLM systems by developing RAG pipelines with vector databases, orchestrating LangChain multi step agents, and fine tuning domain specific models using LoRA and PEFT. Reduced hallucinations and improved factual accuracy by applying grounding techniques, source attribution, verifier models, and adversarial red teaming to identify vulnerabilities and strengthen overall system reliability. Implemented MLOps practices with CI CD and GitOps, deployed ONNX and Triton optimizations, managed canary A B rollouts, and integrated monitoring dashboards for latency, drift, and calibration. Built enterprise ready microservices, standardized embeddings and prompt libraries, established governance for model lineage and provenance, and mentored teams on GenAI adoption.
Education
MSc. Big Data & Artificial Intelligence for Business at Montpellier Business School
January 1, 2024 - November 10, 2025Bachelors in Civil Engineering at The National Institute of Engineering College
January 1, 2017 - January 1, 2021Qualifications
PL-900: Microsoft Power Platform Fundamentals
January 11, 2030 - November 10, 2025AI-900: Microsoft Azure AI
January 11, 2030 - November 10, 2025Industry Experience
Software & Internet, Professional Services, Computers & Electronics, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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