Headline

AI/ML Lead Engineer | Generative AI | Enterprise AI Architecture | RAG | LLMOps | MLOps | Prompt Engineering | Building Production-Ready AI Platforms

About

Highly organized and efficient individual with strong interpersonal, analytical, productive, and creative skills 🎯 Driven to make the best use of my potential by seeking challenging opportunities that allow me to enhance my skills and abilities 🚀 Passionate about Artificial Intelligence (AI), Machine Learning (ML), Generative Artificial Intelligence (GenAI), Prompt Engineering, MLOps / LLMOps, Data Science, and Business Intelligence (BI) 🤖 Actively engage with major tech events like Google I/O Connect, Google Cloud Next, Microsoft Build, Microsoft Ignite, GitHub Universe, AWS re: Invent, Apple WWDC, Samsung SDC, CES, Snowflake Summit, Databricks Data + AI Summit, Adobe Summit, and Dreamforce to stay at the cutting edge 🧑🏻‍💻 Deeply interested in optimizing user experiences (UX) and explore operating systems (OS) and digital device user interfaces (UI) 💻 Exploration extends to various productivity, creativity, analytics, and utility applications, where I strive to understand their full potential and provide valuable feedback for improvement ⚙️ Actively participate in early access programs (Experiments, Preview, and Beta versions) for new applications and operating systems updates, offering constructive and productive feedback on new features, usability, and accessibility ⭐

Location

Bengaluru

AI stack

antigravity

claude

codex

github copilot

openai

claudecode

Work experience

AI/ML Lead Engineer at Broadridge, Jan 2026 - Present · 8 mos, Bengaluru, OnboardingGPT Platform: Led the end-to-end architecture, design, development, and deployment of an enterprise-scale Generative AI platform designed to optimize client onboarding and conversion journeys. Integrated intelligent automation, contextual AI interactions, and domain knowledge assets to deliver personalized user experiences, streamline onboarding workflows, improve conversion effectiveness, and drive an 80% improvement in onboarding efficiency. Product Cortex Platform: Architected and delivered an enterprise-scale Generative AI-powered learning and product intelligence platform integrating enterprise APIs and product knowledge repositories. Enabled newly onboard employees to rapidly build product proficiency while empowering experienced business users with conversational, context-aware access to product insights, significantly improving knowledge accessibility and reducing dependency on SMEs. Enterprise RAG Framework Adoption: Engineered a production-grade RAG framework leveraging AWS OpenSearch, semantic embeddings, chunking, vector search, and large-scale document processing pipelines. Established a centralized enterprise knowledge platform supporting intelligent knowledge retrieval and context-aware AI experiences across multiple business applications. Advanced Prompt Engineering: Designed and implemented advanced prompt engineering methodologies, designing context-aware prompt template, prompt chaining, response orchestration frameworks, and knowledge-grounding strategies to enhance onboard conversion intelligence, improve content quality, reduce hallucinations and deliver highly relevant and accurate LLM-generated responses.

Senior AI/ML Engineer at Broadridge, Dec 2024 - Jan 2026 · 1 yr 2 mos, Bengaluru, Karnataka, India, Generative AI (GenAI): Applied Generative AI with strategic prompt engineering to enhance onboarding data and content quality, enhancing LLM response relevance, accuracy, and presentation. Snowflake AI Data Cloud: Leveraged an enterprise grade Snowflake Cortex AI to enable scalable data driven decision making across enterprise workflows and automated decision intelligence across business processes.

Senior Data Science Specialist at LTIMindtree Banking & Financial Services, Feb 2024 - Nov 2024 · 10 mos, Bengaluru, Karnataka, India, FOSFOR (Product by LTIMindtree): Data Science, DataOps, MLOps, LLMOps, GenAI, NLP, and NLG. Led the implementation of an enterprise cloud-based suite the Fosfor Decision Cloud encompassing: Data Designer | Data Engineering: Implemented a comprehensive DataOps platform, that enabled the Data Engineers to streamline, transform, simplify and optimize the end-to-end data pipelines. Achieved improvement in data quality and processing efficiency through DataOps implementation. Insight Designer | Machine Learning Operations: Implemented an enterprise MLOps platform to adopt a no-code/low-code approach that enabled the Data Scientists and Machine Learning Engineers to develop, build, train, and deploy ML and LLM models at an accelerated pace. Decision Designer | Advanced Augmented Analytics: Implemented a decision intelligence tool to empower Business Analysts to gain actionable insights through Natural Language Search and Advanced Augmented Analytics which can be enhanced further with Retrieval Augmented Generation (RAG).

Senior Data Scientist at Tata Consultancy Services, Oct 2022 - Jan 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, Apple Inc. & SAP Global Systems: Data Science, MLOps, and SAP Data Intelligence. • Directed the MLOps Team, overseeing operations and long-term sustenance efforts. • Revamped project management processes by implementing Wrike and Jira, the project management applications improved team collaboration and project delivery timelines by 35%. • Provided clients with actionable insights by delivering comprehensive reports, recommendations, and implementation guides, contributing to a 100% client satisfaction. • Resolved SAP DI Launchpad issues by collaborating with the SAP Business Technology Platform (BTP) Team, ensuring seamless integration and enhancing overall platform stability. • Associated with the SAP BASIS (Business Application Software Integration Platform) Team, ensuring smooth operations and migrations of data in the SAP Data Intelligence Data Lake and HANA Sidecar, resulting in zero data integrity issues. • Successfully implemented Service Requests (SRs) and Change Requests (CRs) for promoting pipelines across environments, enhancing development agility, and reducing deployment errors by 95%. • Improved code quality and deployment efficiency by integrating SAP Data Intelligence Terminal with GitHub Enterprise for CI/CD. Conducted effective code reviews, reducing integration issues by 95%. • Enhanced codebase security with Gatehouse Check Engine and SonarQube for code and host scanning, reducing vulnerabilities by 80%. • Coordinated with the Quality Assurance Team for PT (Performance Testing), RT (Regression Testing), and UAT (User Acceptance Testing) approvals and signoffs. • Teamed up with the DevSecOps (Development, Security, and Operations) Team for Jenkins automation, triggering pipeline builds and promoting solutions. Automation reduced the deployment time by 80%.

Data Scientist at Tata Consultancy Services, Mar 2022 - Oct 2022 · 8 mos, Bengaluru, Karnataka, India, Apple Inc. BPR Decision Support: Business Excellence and Optimization. • Pioneered automatic label validation processes, ensuring the accuracy and integrity of product labels (Barcode, QR code, data matrix, artwork, and marcom texts) • Utilized Apple's in-house annotation and labelling tool to extract label clips, enhancing the efficiency of product labels and reducing manual errors. • Deployed Object Detection Auto-Train Pipeline utilizing YOLOv5, enabling the seamless detection, decoding, and sequencing of labels. • Trained models with extracted label clips, the training enhanced the detection accuracy in subsequent iterations, contributing to the continuous improvement of the object detection pipeline. • Executed the Object Detection Auto-Train Pipeline on Simcloud, validating outputs and ensuring an increase in overall accuracy, reducing false positives and negatives.

Data Scientist at Tata Consultancy Services, May 2021 - Feb 2022 · 10 mos, Hyderabad, Telangana, India, HPE – Hewlett Packard Enterprise: Supply Chain Analytics and Insights. • Supervised Exploratory Data Analysis with data mining, data cleansing, data preprocessing, and data visualization in Python. Achieved a 60% improvement in data accuracy and processing time. • Conducted Excel Analytics tools, including Power Pivot, Pivot Table, Pivot Charts, and Power Query, to streamline data analysis and reporting processes. This optimization improved the report accuracy and reduced the manual data handling by 80%. • Engineered interactive dashboards with Microsoft Power BI to monitor demand-supply gaps, SKU shortages and line of balance across AMR, EMEA, and APAC regions. • Applied Data Science, Data Analytics, and Business Intelligence methodologies in the Hi-Tech domain. Contributed in operational efficiency and improvement in strategic decision-making.

Senior Data Analyst at Bluechip Corporate Investment Centre Private Limited, Oct 2017 - May 2021 · 3 yrs 8 mos, Mumbai, Maharashtra, India, Python and SQL for Data Manipulation and Analysis: Financial Data Collaboration: Partnered with Accord Fintech and ICRA Analytics, enhancing data quality by 60% and improving the financial analysis accuracy by 45%. Market Analysis Integration: Enabled seamless integration with Bluechip Corporate Investment Marketing team, increasing market analysis accuracy by 25%, and empowering more informed decision-making.

Education

Bachelor of Engineering - BE, Computer Engineering, University of Mumbai

Post Graduate, Data Science and Artificial Intelligence, Edvancer (IIT + IIM Venture)

Public links

github: https://github.com/iamkirankumaryadav