Prithu

Co-founder & CTO

Organic Ledger 

Fractional CPTO

Purple Labs

• Led a team comprising of product managers, developers, data scientists, marketing and monetization, dev-ops and UI/UX to build and scale Avant-Garde B2B SaaS Platform (MAP+CRM+ATS) and Community Tech App powered by Generative AI and Graph ML for the HRTech and Community Tech domain. 

• Defined the Tech, Product and Platform Vision and Strategy for PMF, Go to Market, Positioning and Category Leadership.

• Tools, Technologies & Platforms: React, Python, Java, Django, Apache Spark ML, Kafka, Next.js, Node.js, MySQL, MongoDB, Docker, Android (Kotlin) & iOS (Swift), Generative AI, Graph ML, TensorFlow, PyTorch, Deep Graph, LLMOps

• AI and ML Algorithms: NLP, LLM, GLM, DRF, XGBoost, CNN, RNN, BERT, VAE, RBM, Ensemble Learning, Hidden Markov, GAN

Head of Tech, Product and Data Science

Indian Institute of Management Jammu

Full Term Course - Big Data, Cloud and IOT Analytics

Professor of Practice

KalaGato

• Led a team comprising product managers, developers, data scientists, marketing and monetization, dev-ops and UI/UX to identify, acquire, appreciate category leading high growth mobile apps in different thematic categories such as FinTech (Bank Balance, GST), Gaming (Clone Armies), TMT (Hammer, HDC), Blockchain & Privacy (Ryn VPN, Fast Browser), EdTech (HET).

 Key Portfolio Stats - ARR  > 2 MM USD, MAU 20 m+, DAU 10 m+ 

• Outlined the Tech, Product & Platform Strategy for streamlining and scaling deal scouting, scoring and management, product analytics, portfolio tracking and management and for turbocharging the app growth, monetization, and appreciation through superior app & user insights and addressal of whitespaces. 
 
• Key Projects, Products and POCs: Proprietary Ad SDK, Anti-fraud SDK, E-com Consumer Intel Platform, CRM - E2E Deal Management, App Analytics Platform, Portfolio Tracking, Telemetry Alerting and Anomaly Detection
  
• Tools, Technologies & Platforms: Google AdMob, Google Ads, Meta Ads, GA, AppTweak, Python, Golang, Apache Spark ML, Next.js, Node.js, Docker, Android (Kotlin) & iOS (Swift), Gen AI, LLM, TensorFlow, PyTorch, FastAPI, Grafana

• AI and ML Algorithms: NLP, LLM, GLM, DRF, XGBoost, CNN, RNN, BERT, VAE, RBM, Ensemble Learning, Hidden Markov, GAN

Chief Technology Officer

SmarTek21

• Led a team comprising product managers, software developers, data engineers, data scientists, dev-ops, marketing, pre-sales and UI/UX to accelerate business outcomes for Fortune 500 Clients in Healthcare, Telecom, BFSI and Ecommerce Domain in the areas of data integration and management, revenue assurance, customer experience management, ops transformation, and fraud management.

• Developed Next Gen Intellitek Health Platform for healthcare multi-model data integration and management needs for accelerating development of SMART Apps enabled by FHIR interoperability (FHIR APIs + Adapters + Accelerators).

• Augmented the capabilities of Conversational AI Platform, Smart Bot Hub with multilingual support, multimodal QnA, information retrieval and sentinel learning features to differentiate ST21 offering and to bolster our leadership position. This also resulted in SBH being featured in prestigious Gartner Magic Quadrant.

• Developed Industry First Enterprise E2E Data Ops Platform, ECC to enable seamless data ingestion, in-flight data wrangling and centralized data sink & pipeline governance for data interoperability across hybrid deployment scenarios.

• Tools, Technologies & Platforms: Angular9, Node.js, Python, Nifi, Java, Apache Spark ML, Scala, LLM, Okta, Kafka, Django, Tensorflow, PyTorch, Keras, AWS, Azure, GCP, Mirth Connect, Databricks, Docker, Kubernetes, MLOps

Global Head - Tech, Product & Data Science (Acting CPTO and India Site Lead)

Subex

• Led a team comprising product managers, UI/UX, developers, data scientists and product marketing specialists to accelerate business outcomes for Fortune 500 Clients in BFSI and Telecom Domain (B2B/B2B2X) in the areas of revenue assurance, customer experience management, network asset management, and fraud management.

• Conceptualized, Architected and Developed Industry First Enterprise Augmented Analytics (ETL+AI+NLG), HyperSense to enable seamless and integrated Data Ops, BRM and Data Science Operation under the hood for Telecom Clients for accelerated development of next gen applications. HyperSense featured in Gartner Cool Vendor list for Augmented Analytics Products and Solutions.

• Augmented the capabilities of Enterprise Anomaly Detection Platform, CrunchMetrics to achieve product and revenue leadership in Anomaly Detection Space for Business Monitoring, SIEM, UEBA, NTA and SOAR.

• Tools, Technologies & Platforms: React, Python, Go, Java, Nifi, PostgreSQL, MongoDB, Cassandra, Apache Spark ML, AutoML, NLP, AWS, Azure, GCP, Kong, Docker, Kafka, MQTT, Django, Koalas, Tensorflow, PyTorch, MLflow, Grafana

Director - SaaS Platform Products and Data Science

Accenture Strategy & Consulting

Accenture Strategy - Resources Practice - Industry X.0 - Artificial Intelligence, IoT, BigData

• Spearheaded the AI, ML, NLP and Advanced Analytics led Digital Transformation Engagements with Fortune 500 Clients in the Resources Industry Practice of Accenture. Our Client base in the Resources Industry Group consists of companies within Energy & Utilities, Oil & Gas, Building Materials, Chemicals and Metals & Mining – typically global companies that act on global, competitive markets.

• Led the AI and ML powered Product and Platform Development Initiatives within the Resources Industry Group of Accenture Strategy Capability Network.

• Developed COE Framework, Compendium of Use Cases, Model Zoo Inventory, Soft IPs to accelerate AI Asset Creation during Pilot Phase in Resources Practice from the stage of Service Ideation to MVP creation.

• Key Projects, Products and POCs: Wells Invoicing Automation, Profit Margin Prediction Tool, AI led Riser Integrity Management, CX Price Prediction Tool, Payment Propensity Model, ID Fraud Detection Model, Energy Theft Detection 


• Tools, Technologies & Platforms: Angular 8, Python, Java, Apache Spark, H2O.ai, KNIME, ML, Deep Learning, NLP, AWS, Azure, MLflow

Associate Principal - AI and Industry 4.0 COE and Delivery

Virtusa

• Led a team to accelerate business outcomes for Fortune 500 Clients in BFSI & HLS Domain in the areas of revenue management, customer experience management, fraud detection, ops transformation, and regulatory compliance.

• Conceptualized, Architected and Developed an AI Experimentation Platform to enable Structured AI Solution Delivery in any enterprise from Ideation to MVP/CVP creation. Also was designated Product Leader for Open API Innovation Fintech Platform for banking.

• Key Projects, Products and POCs: Product Recommendation Engine (Corporate Banking), Credit Default Prediction, Fraud Detection (AML), KYC EDD, Trade Surveillance, Covenant Management, FX Confirmation, FS Analysis, Margin Call Automation, Pitchbook Automation, Intelligent Document Automation.
           
• Tools, Technologies & Platforms: Angular 8, Python, Spark, H2O.ai, KNIME, ML, Deep Learning, NLP, AWS, Azure, MLflow

Deputy Head - Fintech and AI Labs

Mu Sigma Inc.

• Delivered AI and Advanced Analytics Advisory & Consulting Services to Fortune 500 Clients in BFSI & HLS Domain to implement Data Driven Marketing, Supply Chain and Risk Management Strategies.

• Led a delivery unit of worth USD 15 Million.

• Spearheaded FY18 Account Planning exercise for Top 40 accounts of Mu Sigma.

• Institutionalized Org level initiative of Growth Hacks (systematic framework to accelerate growth) under the leadership of Buck Stops Here Team.

• Led a team of data scientists and data engineers to drive projects in the areas of Customer Segmentation, Launch Analysis, Competitive Intelligence, Marketing-Sales Effectiveness and Supply Chain Optimization.

• Key Projects: Multi Touch Attribution Modelling, MMx Modelling, Launch Analytics, Sales Force Analytics, Speaker Program Assessment, Patient Journey Analytics

• Tools, Technologies & Platforms: React, Python, R, SAS, Dataiku-DSS, H2O.ai, KNIME, ML, Deep Learning, AWS, Azure, GCP

Delivery Leadership - AI/ML Delivery and Product Management

PhD Candidate at TBS France, MBA from IIM-L, B.E. from MSU || Chief Product and Technology Officer || Site Lead || Head of AI || Building and Scaling SaaS Products and Consumer Applicatios || Professor of Practice at Top B Schools

Industry/Domains: 
Emerging Tech (AI/Blockchain/IOT), Consumer Tech, SaaS, FinTech, HealthTech, E-commerce, BFSI, HLS, TMT, Gaming, AdTech, Edtech, AgriTech, Industry 4.0 (Energy & Utilities, Oil & Gas and Metals & Mining)

Career Synopsis:
15+ years of varied and rich experience in Consumer Tech and Enterprise Tech. Specialized in AI, Multitenant SaaS Platform and Consumer App Development, Product Management (B2B/B2C/B2B2C), ETL and Big Data Analytics, Emerging Tech Consulting, and Strategic & Risk Management.

Skills, Interests and Certifications: 
AI, ML, Deep Learning, NLP, Generative AI, Graph ML, IoT, Computer Vision, Data Engineering, Big Data Analytics, Blockchain || B2B & B2C Product Management and Platform Development || Tech Consulting || Quantum ML, Web3 and Cybersecurity Enthusiast || SAFe Agilist || 6σ GB II 6 AI Patents

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