Bengaluru, Karnataka, India
I’m an AI Builder who turns AI into enterprise value. My impact spans across engineering, business, sales, community, content and public speaking. Engineering: I have owned the full AI lifecycle from use-case discovery & solution architecture to AI governance, and production-grade scalable systems. At my current company, I’ve rebuilt key workflows end-to-end, delivering up to 60% productivity gains. Business: I focus on outcomes, not demos, aligning AI with ROI, adoption, and measurable impact across teams. Sales: I have worked closely with go-to-market teams to drive revenue growth through AI, and I’ve directly contributed to over XX million in deal closures through AI accelerators that I have built. I’ve also partnered with the Saudi Tourism Authority to deliver AI-powered offline experiences for 10,000+ people, using AI to promote tourism. Community + Content: I’m a LinkedIn Top Voice and a Google Developer Expert (GDE) in AI. My content has 40M+ views, I’ve mentored 2,500+ learners Speaker: I’ve delivered 100+ talks and workshops, including sessions for the Ministry of Home Affairs (Govt. of India), IIT Madras, IIT Jodhpur, NITs, and several IIITs focused on making AI practical, explainable, and usable to a cumulative audience of over 25k people. If you want to scale AI adoption, automate high-impact workflows, or get measurable results with GenAI + ML, let’s connect. And if you’re looking for a speaker for a talk, or a keynote, hit me up!
- The top performer in 6 months of joining, because: - Built 7 accelerators/tools that helped close $20 million deals - Built cloud cost optimisation agents, saving $100k+ dollars annually - Tools were cumulatively used in 20+ deals - Innovation led to adoption in cross-functional teams: delivery, IT and finance (till now) - Proposed best practices for new AI tools resulting in productivity gains up to 80%
Served as AI solution lead for strategic customer engagements on Agentic App Modernisation initiatives alongside Google Cloud teams, contributing to $20M+ in enterprise opportunities. Spearheaded an end-to-end agentic media generation pipeline with 75% increased productivity and superior consistency. This enterprise AI innovation led to a $3M business expansion. Led a multi-agent AI swarm for autonomous QA and security testing, which is now adopted across 50% delivery engagements, reducing manual testing effort by 70% and accelerating release cycles by 40%. Built CloudClean66, an AI-powered cloud optimisation platform across 500+ GCP projects, uncovering over $125K in annualised infrastructure savings while reducing cloud waste by 15%+.
- Led development of an AI-powered RFP Intelligence Tool using Agentic RAG, Custom Agents, and Multimodal RAG. Enabled instant product queries for pre-sales & client engineering teams, supporting 250+ RFPs/year and delivering >$6M annual productivity savings by reducing SME effort from 5–14 days per RFP. - Built Prompt Compression Tool that reduced token usage and LLM costs by 30% while maintaining response quality. - Led two key AI projects with high-impact demos, resulting in 200% salary hike and stock options for outstanding performance. Mentored juniors and contributed to technical eminence through knowledge sharing. - Designed multi-agent orchestration and LLM applications with fine-tuned retrieval & prompt engineering for automated AI workflows.
Led development of Llama-assisted data generation and model optimisation pipelines that improved multi-class classification accuracy from 35% to 91.2%, enabling production deployment and contributing to a $500K deal win. Architected and deployed enterprise-scale Agentic RAG platform across 6M+ documents using vector retrieval and agent-based reasoning, enabling organisation-wide knowledge discovery and delivering $10M+ annual savings. Optimised WatsonX product query accuracy from 60% to 90% by refining retrieval heuristics and prompt engineering.
- Built uplift modeling and revenue prediction models using Meta Learners and feature importance techniques, improving marketing ROI by 18–25% and accurately forecasting incremental revenue for key campaigns. - Developed time-series forecasting pipelines for e-commerce trends using Prophet, ARIMA, and LSTM, achieving 85%+ accuracy and reducing forecast error by 22% across multiple product categories. - Engineered seasonality detection, peak analysis, and similarity-based trend capture, resulting in 30% better peak demand prediction and more precise inventory & promotion planning. - Led end-to-end deployment of forecasting models into production systems, enabling real-time recommendations that drove $2.1M+ additional annual revenue through optimized e-commerce strategies. - Designed and implemented security modules for LLM-powered products, including real-time threat detection and anomaly monitoring, reducing potential security incidents by 40%. - Strengthened AI model integrity by developing prompt injection defenses, improving robustness and compliance with zero major injection breaches post-implementation. - Created interactive dashboards in Data Studio that visualized model insights and business impact, helping stakeholders track key metrics and accelerate data-driven decisions by 25%.
I have written practical hands-on articles on Generative AI for thousands of readers of Packt. The articles emphasised the use of Generative AI for different use cases like Finance, Forecasting, NLP etc.
My Freelance Contributions include: -> Machine Learning Projects -> Web scraping and Automation Projects -> Deep Learning Project -> Personal Tutoring (Python, Machine Learning, SQL, Deep Learning, NLP) -> Blogs Writing -> Consulting on Personal Branding and AI based use cases.