Headline

Senior Data Science Technical Consultant , Deloitte | Tech Consulting | GenAI

About

As an experienced Data Scientist , I bring a blend of expertise in machine learning, software development, and system operations. My primary focus is on streamlining the end-to-end machine learning lifecycle, from model development and training to deployment and monitoring.

Location

Bengaluru

Work experience

Senior Technical Consultant - GenAI Specialist at Deloitte, Jan 2026 - Present · 7 mos, Gurugram, Haryana, India

Senior Technical Consultant- Generative Al and EY Machine learning at EY, Jan 2025 - Jan 2026 · 1 yr 1 mo, Bangalore Urban, Led end-to-end design and deployment of a production GenAI enterprise analytics platform enabling natural-language data exploration across financial systems, improving reporting automation and scalable decision support. Built scalable enterprise data ingestion and semantic search pipelines supporting multiple structured data formats, enabling faster onboarding and reliable query performance at scale. Implemented agent-based AI workflows using orchestration frameworks such as LangGraph / agent pipelines, improving query understanding, reasoning accuracy, and system modularity for production environments. Implemented a knowledge graph layer to model table relationships and improve semantic retrieval accuracy and schema understanding. Built a multi-stage query serving framework using GPT-4o with schema-aware prompts, chain-of-thought reasoning, and few-shot prompting to improve SQL correctness and robustness. Evaluated system performance using RAGAS metrics to measure factual consistency, answer relevance, and retrieval quality. Owned delivery of Enterprise Architecture (EA) playbook documentation, defining business architecture, solution design, operational models, and security-aligned system blueprints. Collaborated with finance stakeholders, data engineers, and architecture teams to translate enterprise reporting needs into production-ready AI solutions.

Senior Data Scientist at Quest Global, Sep 2024 - Jan 2025 · 5 mos, On-site, Led the design and deployment of end-to-end AI/ML solutions across Legal, Healthcare, Rail, and Energy domains, owning the full lifecycle from data ingestion and modeling to scalable production deployment. Delivered multiple production AI deployments (4+ enterprise systems) and collaborated closely with product teams, domain experts, and engineering stakeholders to translate business problems into scalable AI solutions. Built a production-grade Retrieval-Augmented Generation (RAG) legal AI assistant using LLMs, semantic search, and vector databases, reducing manual legal research effort by ~40–60% and improving response relevance. Fine-tuned and operationalized LLaMA-2 based enterprise LLM pipelines on AWS, implementing automated training orchestration and CI/CD deployment workflows, reducing release turnaround from weeks to days.

Data Scientist at Quest Global, Sep 2021 - Oct 2024 · 3 yrs 2 mos, Bangalore Urban, Developed clinical NLP pipelines extracting medical entities, assertions, and relationships from unstructured patient discharge summaries, enabling large-scale structuring of healthcare data and improving analytics readiness. Established scalable MLOps infrastructure using MLflow, Docker, AWS SageMaker, and cloud deployment pipelines, improving reproducibility, governance, and model release stability. Built deep learning computer vision models for railway safety inspection to detect axle/gearcasing oil leaks and classify severity levels from panoramic track images, enabling automated fault detection and preventive maintenance. Engineered OCR and image intelligence solution for power-plant HMI displays using CRAFT text detection and TensorFlow classification models, automating operational data extraction and reducing manual reporting effort.

Machine Learning Engineer at Bytech India, Jul 2019 - Jul 2021 · 2 yrs 1 mo, Delhi, India, Developed computer vision–based fraud detection solutions for inventory systems, enabling automated identification, counting, and validation of products from warehouse images. Built and trained object detection and image recognition models to identify product attributes such as labels, colors, barcodes, and packaging details, improving inventory tracking accuracy. Implemented barcode detection and decoding pipelines to support automated item verification and strengthen fraud prevention workflows. Designed document classification models to categorize invoices, challans, visiting cards, and other business documents from multiple vendors. Applied OCR-based information extraction to automatically capture structured fields such as invoice amounts, organization names, and customer details from scanned documents. Performed image preprocessing, augmentation, and model optimization using TensorFlow, OpenCV, and OCR frameworks to improve prediction performance and robustness across varied document formats. Integrated ML models into backend systems via REST APIs, enabling automated processing and real-time usage in production workflows.

Machine Learning Intern at CETPA Infotech Pvt. ltd., Dec 2018 - May 2019 · 6 mos, Noida Area, India

Education

Bachelor of Technology - BTech, Computer Engineering, Rajasthan Technical University, Kota