Senior Consultant/Architect - AI & ML | GenAI & Agentic AI Expert | Delivering innovative, actionable AI solutions across industries

Hyderabad, Telangana, India

Bangalore

Greater Bengaluru Area

Greater Bengaluru Area

Bangalore



Post Graduation, Data Science
Praxis Business School

Bachelor of Technology - BTech, Mechanical Engineering
Amrita Vishwa Vidyapeetham, Coimbatore
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Download Tal BossSenior Consultant/Architect - AI & ML | GenAI & Agentic AI Expert | Delivering innovative, actionable AI solutions across industries
AI Architect and Strategy Consultant with 11+ years of experience across various domains including chemicals, energy, healthcare, and insurance, leading enterprise AI transformation through scalable, production-grade AI/ML systems that deliver measurable business outcomes. I specialize in the full AI lifecycle from strategy and architecture through MLOps, governance, and production deployment. My core expertise covers agentic AI (LangGraph, LangChain, CrewAI), RAG/CRAG systems, LLM fine-tuning, multi-agent orchestration, and cloud-native ML on AWS Bedrock, Azure AI Foundry, and GCP (GCP Certified ML Engineer). At Deloitte USI, I've led initiatives that delivered $10M+ in measurable business impact including KPI forecasting platforms, regulatory automation engines, and enterprise knowledge tools, cutting manual effort by up to 70% and improving decision accuracy by 40%+. Beyond building systems, I actively invest in growing the AI community, delivering training sessions on Generative AI, Agentic AI, and LLM architectures both within Deloitte and at external forums. I enjoy breaking down complex AI concepts for practitioners and helping teams move from curiosity to production readiness faster. Previously, I've led ML Engineering and MLOps programs spanning Search, Recommendations, RAG systems, NLP, and Customer Analytics, guiding cross-functional teams to build reliable, scalable ML platforms from concept to enterprise deployment. I'm also a published ML writer with 25+ articles on Medium, where I'm a top writer in machine learning. - Link to blog: https://medium.com/@niranjankumarc - GitHub: https://github.com/Niranjankumar-c
Hyderabad
cursor
claudecode
Senior Consultant Data Science at Deloitte India (Offices of the US), Apr 2021 - Present · 5 yrs 5 mos, Hyderabad, Telangana, India, - Built an AI-powered KPI forecasting & insights platform for a global chemical client by fusing driver-based time series models with Azure OpenAI GPT-4o. Delivered 95%+ forecast accuracy, cut manual reporting by 70%, and unlocked $8M+ annual efficiency gains. - Deployed an Agentic RAG-based KPI insights chatbot with LangChain, multi-agent orchestration, and Azure AI Search—improving query resolution accuracy by 40% and securing a $2M follow-on contract. - Architected an enterprise-scale Agentic CRAG system on AWS Bedrock (Claude 3.5, SageMaker, OpenSearch) with corrective retrieval loops and dynamic tool execution, ensuring compliance-ready, context-aware insights for critical energy operations. - Directed cross-functional AI delivery teams (DS, ML, Cloud) to drive agile sprints, architecture reviews, and AI governance, ensuring scalable and compliant deployments across industries. - Launched a GenAI-powered Healthcare Knowledge Tool (Azure OpenAI + AI Search) that boosted search efficiency by 70%, automated metadata generation (40% manual effort reduction), and delivered 93% accuracy in patient consent analysis. - Automated regulatory workflows (SOP creation, gap analysis, stakeholder detection) with Generative AI, achieving up to 75% efficiency gains and 50% faster reviews. - Scaled computer vision safety solutions across multi-camera setups—transitioned 9 legacy models into a unified YOLO framework, improving violation detection by 30–50%, cutting re-training time by 60%, and reducing safety incidents by 15–20%.
Senior Data Scientist at Allstate India, Oct 2019 - Apr 2021 · 1 yr 7 mos, Bangalore, - Developed the first-party fraud prevention model to identify and report potential fraudulent medical claims from motor vehicle accidents. - Partnering with all stakeholders to discover, define, assess, and document business needs and requirements. - Performing extensive secondary research to understand emerging technologies that may contribute to model performance. - Using data from the past six years, an XGBoost classifier trained to predict the likelihood of a claim being referred to the SIU, resulting in 85% automation of customer claim assessments. - Utilized machine learning algorithms such as linear regression, multivariate regression, naive Bayes, Random Forests, K-means, & KNN for data analysis. - Leveraging vehicle data from the three preceding years, I constructed an XGBoost classifier to predict whether a motor vehicle incurred any chargeable violations. - Implemented a novel short text clustering technique to classify the insurance client's customer feedback and pinpoint review themes. - Used Tableau for cleaning, analyzing, and visualization of large data sets to make decisions. - Created an automated clustering framework to automate the process of building clusters from the given data. Framework uses silhouette score to automatically recommend the ideal number of clusters.
Freelance Technical Writer at MarkTechPost, Jun 2019 - Oct 2019 · 5 mos, Greater Bengaluru Area, MarkTechPost is an American technology-based business website. It publishes original articles on Artificial Intelligence, Data Science, Machine Learning and Deep Learning. As an AI Freelance Writer at Marktechpost, my responsibility is to write on crucial topics centered around the fields like Data Science, Machine Learning and Deep Learning
Retail Risk Analytics Intern at HSBC, Apr 2019 - Oct 2019 · 7 mos, Greater Bengaluru Area, - Developed credit risk models centered around the estimation of expected credit losses for retail banking portfolios. - Automated the entire process of EDA to derive insights for managerial action. - Developed loss impairment models using IFRS9 Accounting Standards. I also created dashboards using Excel Macros and SAS. - Built Regression models to estimate the losses for each quarter for home loans and credit card loans. - Built a credit limit optimization model using a decision tree to segment the customers for different credit lines.
Technical Writer at Towards Data Science, Mar 2019 - Mar 2020 · 1 yr 1 mo, Bangalore, Writing blogs on deep learning (theory and hands-on coding tutorial - basics to pro) from the deep course at PadhAI. Top Writer in Artificial Intelligence at Medium Since April 4th. https://towardsdatascience.com/@niranjankumarc
Post Graduation, Data Science, Praxis Business School
Bachelor of Technology - BTech, Mechanical Engineering, Amrita Vishwa Vidyapeetham, Coimbatore