Dec 2022 – Oct 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India · Hybrid

• Kloudstac is a AGI (Artificial General Intelligence) Acceleration Platform startup born in the ChatGPT era, helping Fortune 2000 enterprises in improving adoption & value realization from AGI via our learn & build playgrounds.
• We offer a Platform driven CONTINUOUS, ACCELERATED, SCALABLE, HOLISTIC (CASH) model of AI talent transformation incl portfolio of AI upskilling programs (30+), 500+ labs/ playgrounds across personas on GenAI, Agentic AI and Agentic AI Pilot accelerator solutions across Business functions/ Processes.
• Our unique approach offers Enterprises a Holistic, Continuous, Accelerated & scalable AI Talent Transformation solution that is unmatched in the Industry.
• Delivered 150+ GenAI, Agentic AI programs in 2.5 yrs. We partner with Fortune 2000 Enterprises and top 30 leading Edtech/ Corporate and B2C education providers globally (across 5 countries) for servicing their customers on AGI/ Agentic & Generative AI talent development.
• Our offerings:
• 1. AGI Playground platform with learn, build labs & personalized AI tutor supporting each learner in their AGI skill development journey, coupled with our Agentic AI Copilots/ Pilot Accelerators
• 2. Agentic AI Industry Solutions and AGI Strategy & Value discovery (use cases & pilots, implementations)- our consulting services
• 3. 30+ AGI / Agentic AI training programs for B2B, B2C - across technologies, Industries, Business functions
• Website: https://www.kloudstac.com
• My specialization:
• 1. Mentor/ Advisor (AI/AGI) for Business & Technology Leaders across Industries, GenAI/ Agentic AI Architect programs across AWS, GCP, Azure, OCI (delivered ~100 batches till Jun 2025)
• 2. AI Use cases incl AI Agents across Industries, horizontals incl frameworks, use case discovery, detailing
• 3. Architecture & development- RAG, AI Agents, Finetuning: OpenAI, Anthropic, Google, Microsoft, NVIDIA, Mistal, Meta stack
• 4. LLMOps & MLOps- GCP Vertex AI, AWS Bedrock & Sagemaker, Azure AI Studio

Feb 2022 – Nov 2022 · 9 mos · Bengaluru, Karnataka, India

• Responsible for business-as-usual/ ops, re-architecting/ modernizing, new features, improvements, growing revenue on 3 SAAS products in digital marketing, adtech, workforce productivity & engagement (empmonitor.com, poweradspy.com, socinator.com). Managed 300 people team across departments - Product Management, Engineering, Marketing, Sales, HR & Operations.
• Tech stack: GCP- MongoDB, Firestore, cloud functions, GCS, Bigquery, GKE-Kubernetes, Compute- VMs, containers, docker, Cloudsql-RDS, Elasticsearch, APIGEE; AWS- S3, EC2, Lambda, RDS-mysql, documentdb, API Gateway, athena; NextJS, NodeJS, Polygon L2 scaling with solidity-ethereum
• Achievements:
• 1. Restructured product organization, cutting 30% cost, optimized engg team. This includes reducing cloud costs by 70-80% in 8 months.
• 2. As architect, re-engineered/ created to-be design for EMPMonitor.com on AWS, later on GCP and poweradspy.com on GCP. Used best-in-class tech stack - serverless and containerized microservices.
• 3. Changed/ modernized the obsolete/in-consistent product strategies for EMPMonitor.com (employee monitoring to Workforce productivity & engagement platform), poweradspy (updated to- "Discover social media ads + content strategy of competitors") with 18 months product roadmap in line with market reqs/in-demand use cases.
• 4. Improved processes & practices/mix across sales, marketing, ops leveraging past experience in startups, large enterprises. Cut down marketing costs by half within 3 months.
• 5. Executed ISV partnership with Google cloud platform giving global access to customers and GCP sales network via GCP Marketplace
• 6. Defined, optimized product roadmaps, pricing & GTM strategy on continuous basis and provided needed leadership & mentorship to various teams.
• Prototyping- Generative AI (GPT2/3.5) driven content generation app.

Sep 2019 – Feb 2022 · 2 yrs 5 mos · Bangalore

• GoBaskt (US headquartered, http://gobaskt.com) is a tech product startup offering a hyperlocal commerce platform for local businesses, retailers & CPG Brands. We are helping businesses acquire & retain customers and improve revenue within local area of 5-6 miles with our unique technology.
• For local businesses, we bring modern technology, that only large brands can afford, on a value based pricing model.
• For consumers, we offer an intelligent virtual shopping assistant app that uses AI, multi channel engagement, analytics in new ways, in order to create unique interaction experiences between individuals and businesses for commerce, marketing and service. It helps consumers to save time, money & efforts, while shopping for services & products.
• Achievements:
• 1. Developed product vision-mission, value proposition, use cases, UI-UX/ business workflows, pivoted to more valuable use cases during covid times and built them fast.
• 2. Built technology strategy, designed, developed, deployed complex full stack web and mobile apps with NextJS-React for web apps (migrated from angular), backend with python-nodejs (migrated from Java) + AWS Lambda, Containerized microservices with AWS Fargate/ ECS and EKS/ Kubernetes, Snowflake, S3, Athena, Kinesis/ Kafka, AWS Step functions, mobile apps with IOS native, Android native (Kotlin), databases- dynamodb, mongodb, postgresql, DevOps- Github-AWS Codebuild, codepipeline, codedeploy. Multiple use case built and deployed in production over 2 yrs.
• 3. Ran engineering/ operations frugally with a low budget esp during COVID time when primary customer market got disrupted. Bought revenue/ sales.

Dec 2018 – Oct 2019 · 10 mos · United States

• 1. Academic level program to enable emerging tech skill development via high quality hands-on projects and mentorship from experienced professionals. So far, 30+ students across few engineering institutions benefited from the program.
• 2. Global virtual "Artificial Intelligence" Professional Community comprising 150+ AI practitioners, with the aim of mastering concepts, industry use cases, code implementation and practical hands-on innovation project based application of emerging AI techniques.
• Focus areas- Computer Vision, NLP, Predictive/ Prescriptive/ Descriptive analytics, AWS & Azure, Chat & voice bots, Web & mobile apps, Augmented Reality.
• Sample recent topics (AI):
• 1. Transfer learning for NLP with Google BERT
• 2. LSTMs, GRUs, Attention models & transformer architecture
• 3. Capsule nets
• 4. GAN Implementations
• 5. Yolo v3 object detection
• 6. Deepspeech architecture, CTC, Attention models for ASR
• 7. Siamese Networks
• 8. Brain Computer Interfaces
• 9. Deep Reinforcement learning with OpenAI, Tensorflow
• 10. Recommendation models

Oct 2017 – Sep 2019 · 1 yr 11 mos · Orlando, Florida Area

• 25+ engagements (POCs/ pilots/ implementations/ running large programs) (CPG, Telcos, Banks) as program/project mgr, BA, Solution architect (includes pre-sales work). Clients- Loreal, Verizon, Citibank, Deutsche Bank, Philips Lighting, BB&T Bank, Nestle, P&G, Yahoo Sports, ABInBev, Colgate, etc.
• Built Professional Services/ Delivery organization for North America- Sept 2017 to Jun 2018.
• Managed solution design, development & delivery in multiple strategic customers- bot solutions roadmap, use cases discovery/ new projects/ generate additional business, help improve operational processes & capabilities of deployed bot solutions.
• Hands-on bot building on Kore, facebook, amazon alexa, google assistant, IOS & Android apps.
• Hands-on/ deep expertise on AI engines in production: NLP- Supervised & unsupervised ML, Computational Linguistics/ Fundamental meaning, Knowledge graph.
• Expertise in discovering/ proactively developing 20+ net new use cases.
• As part of Product Mgt (Monetization, New Products), my responsibilities:
• 1. Executing services (delivery, solution design, dev, deploy)- POV Pilots, Implementations and improving customer satisfaction & value creation from using kore products
• 2. supporting license sales cycles & proposals as functional and product SME/ pre-sales architect
• 3. working with product management on new products (idea-to-MVP), product improvements/ bug fixes/ enhancements/ new functionalities (includes providing detailed requirement, conceptualizing user stories).
• 4. content creation- blogs, articles, case studies, etc
• 5. contributing to SI and OEM alliance development as SME
• 6. Conceptualized, prototyped new product ideas.
• 7. demos- industry use cases, developing day-in-the-life scenarios, conversation flows.
• 8. setting up/ optimizing chatbot programs (covering entire bot lifecycle) in large enterprises
• 9. Work with product engg daily/weekly on technical issues/ bugs, limitations/ new technical features.

Apr 2015 – Sep 2017 · 2 yrs 5 mos

• Key focus areas (Digital Transformation initiatives- practice sales, advisory, delivery, IP dev):
• 1. AI/ Cognitive & Intelligent Automation- chat & voice bots, conversational analytics & NLG, deep learning, computer vision, NLP based automation (OCR, intent & entity extraction from email text)
• 2. Big data analytics- SPARK, R, python, HADOOP HDFS
• 3. Industrial & Consumer IOT (Device & Sensor data mgt, IOT protocols, Edge & Cloud analytics, algorithms, real time operational dashboards, KPIs/ metrics, asset maintenance& monitoring )
• 4. Blockchain technology driven Industry solutions for product supply chain based sectors- CPG, Retail, Pharma, O&G
• 5. CXO Cockpit/ Digital Boardroom analytics - 360 view of corporate performance & key driver analysis
• Partial hands-on exposure to
• a) Big data technologies: SPARK, NoSQL DB - MongoDB
• b) Statistical and Machine learning tools/ languages with R, Python (Scikit learn, numpy, pandas)
• c) Blockchain tools @ Ethereum
• d) Conversational apps with Enterprise AI Platforms- chatbots/ virtual intelligent assistants
• e) Formerly- SAP HANA, SAP BPC, SAP BI, Analysis Office & BOBJ Cloud
• f) Cognitive/ ML APIs- Google cloud platform, Microsoft Azure, IBM Watson
• g) Deep Learning with Google Tensorflow
• SME on emerging solution spaces in Digital Marketing & Marketing driven commerce- Account Based Marketing, Personalized & contextual multi-channel multi-wave campaigns, dynamic customer profile, segmentation, predictive analytics, social listening, location based marketing, mobile loyalty programs, use of AI/Cognitive technologies for Digital Transformation across front office & back office business processes and business model re-configurations in select industries.
• Hands-on exposure on AI frontiers- Meta learning, Siamese networks, Generative adversial networks. GAN, GRUs & LSTM, etc.

Aug 2014 – Jul 2015 · 11 mos

• Developed global SAP HANA Practice with GTM collaterals/assets, POVs, service offerings, case studies, solution accelerators, relationships with SAP Labs & SAP/ Hybris Field Sales.
• Managed HANA requirements (solutioning, proposals) on BI-Native HANA, BW-HANA, BPC-HANA, S/4HANA, Fiori/UX, HANA Cloud, Hybris Marketing across 20+ customers & prospects.
• Drove demand generation programs on HANA (new pursuits & account mining initiatives) with sector sales leaders.
• Key contributions/achievements:
• 1. Achieved 500% growth in HANA SMEs headcount in 1.2 yrs.
• 2. Built 23+ solution prototypes/ demos on HANA across applications
• 3. Achieved approx. 800% growth in HANA Case studies in 1.2 yrs.
• 4. Achieved 270% growth in revenue from HANA Services in 1.2 yrs.
• 5. Delivered multiple HANA Engagements- Implementation, Pilot, Advisory successfully.
• 6. Developed 30+ HANA Collaterals- capability decks, reference architectures, POVs, solution models, etc
• 7. Built multiple new HANA Cloud alliances as part of building HANA Cloud practice and developed highly differentiated joint service offerings.

Oct 2013 – Aug 2014 · 10 mos

• Worked with Sales Teams, Partners and customers/ prospects on project support/delivery oversight, proposal/ requirement solutioning in Business Analytics & EPM. Applications include - BPC, BW, HANA- Analytics. Identification & development of various sales channels, drive capability development initiatives.
• Built competencies on Consolidation/ Group Close based on IFRS Standards (IAS 27, 28, IFRS 3,10,11)
• Managed lead generation & deal pipeline in North America on SAP BPC, BW, BusinessObjects, HANA by working with Geo Sales, Partners and Inside Sales.
• Oversee delivery/ solutioning for offshore projects on BPC/ BPC-BW for North American Customers.
• Developed well rounded exposure in BPC - Planning : Sales, Material, Production/ S&OP, Direct & Indirect Costs including HR Headcount & payroll cost, CAPEX, Balance Sheet, Income Stmt, Cash Flow Stmt, Machine level Capacity Planning, Plan data retraction to ECC, FICO Processes. Discrete & Process Manufacturing.
• Bought improvements in Sales Process for SAP Business Analytics & EPM in following areas:
• 1. Prospecting, Lead Generation, Sales Campaigns
• 2. Initial Engagement and Positioning Services/ Value Offerings
• Driving Practice building & Capability Dev. in BusinessObjects Reporting and Advanced Analytics (Descriptive/ Predictive/ Prescriptive on Big Data) on SAP Predictive Analysis/ Infinite Insight, HANA, R-HANA-HADOOP Integration, SAP's Advanced Analytics RDSes for Sales, Marketing, Manufacturing, Retail/ CPG

Mar 2012 – Oct 2013 · 1 yr 7 mos

• Built BPC and HANA Practice since inception at ITC Infotech. Developed SAP BPC and HANA In-Memory Analytics Capabilities, Offerings, New Solutions, GTM. Work on PreSales, Implementations, Consulting Engagements including True Profitability/ Costing, Shared Services Costing, Driver based Financial Planning
• PreSales on SCPM-HANA, Demand Signal Management on HANA
• Evolved Hub-n-spoke model of HANA Practice, did internal selling and put into practice
• Expanded sales channels and utilized them for lead generation
• Capabilities Developed
• 1. BW and BPC Database Migration to HANA
• 2. HANA COPA Accelerator
• 3. HANA Demand Signal Management
• 4. HANA Information Models/ Custom Data-mart and consumption into BW data models
• 5. HANA Value Assessment and Proof of Value Consulting Offering
• Demo Solutions designed and executed/ in-progress on HANA:
• 1. Simple and Complex Reporting Scenarios with high data volume
• 2. Mixed Scenarios – Consuming HANA Information models in BW and vice versa
• 3. Real Time Reports and Dashboards using SLT Replication in HANA Information Models
• 4. Data Extraction into HANA using DXC (Direct Extractor Connection)
• 5. Inventory Reports & Dashboards on BOBJ-HANA with 3 million records, performance comparison with similar scenario on BW – Traditional Database
• 6. Market Research and POS data Analytics in Demand Signal Management-HANA

Jan 2011 – Mar 2012 · 1 yr 2 mos · Bangalore

• Working as a SME in Supply Chain Planning/APO and Finance ( Profitability and Cost Analytics) for SAP BW. Was part of BW projects on Supply Chain Planning, Profitability & Cost Mgmt, took several handovers of several projects during transition to Support, Managed Team for delivery on Incidents and Data Load Monitoring, Involve in Technical Incident Resolution and Data Load Monitoring, Knowledge Management and Training Program Dev. for SAP BW Team.
• Developed Functional knowledge on supply chain planning and dimensional profitability & cost allocation mechanisms.

Aug 2009 – Jan 2011 · 1 yr 5 mos · New Delhi Area, India

• SAP Business Intelligence Team Lead, & Techno-Functional Consultant, Functional SAP FICO. MM Consultant, BusinessObjects Reporting & Analysis

Apr 2008 – Jun 2009 · 1 yr 2 mos · Mumbai Area, India

• Founded a real estate services co (discount broker with the aim to become a national brand and roll-out a franchisee model with a strong marketing & sourcing focus). Was profitable on a quarterly basis, after 1 yr.
• Had to close down due to recession (peak time) and funding issues that prevented ops from scaling up.

Mar 2008 – Feb 2009 · 11 mos · Pune Area, India

• Investor and partner, worked with the founders improve their revenue model (including identifying and working on new businesses/ revenue sources) & operations, accounting practices.

Mar 2007 – Apr 2008 · 1 yr 1 mo · Mumbai Area, India

• Advisory on enterprise software with open source tech & platforms, building SAAS ERP product for small & medium businesses in India.

May 2004 – Aug 2009 · 5 yrs 3 mos · Mumbai Area, India

• Worked in PLM, SAP BI, SAP ECC/ERP in Implementation, Consulting, Technical Development, Business Development, PreSales Roles.