Product and service development Generative AI experts for B2B catering SME,MNC,Fortune 1000+ and funded startups to help build systems that learn how to solve challenges. The main areas of expertise are the convergence of below-emerging technologies:✔ Artificial Intelligence as a service✔ Staff Augmentation of world-class highly skilled resources at competitive rates✔ Web scraping as a service✔ Data Engineering as a service: Data Pipeline, ETL, Spark,Streaming, Visualization, DS, UI/UX, Big data✔ Chatbot as a service : Dialogflow, csml, RASA, botpress, Einstein Bot, IBM Watson, manychat ,OPENAI chatgpt integration and Davinci model fine tuning✔ Cloud Lab : Deployments: AWS, Azure, Digital Ocean, GCP✔ Reality Lab: AR/VR, WebAR, Unity, blender engine, [ flutter apps ] , AR.js✔ IoT Lab: Robotics, ROS, firmware, embedded hardware, Azure IOT hub, ADF, Cosmos, IOT Dashboards✔ Content Lab: Content creation and training for AI, Blockchain development, and Research, Technical Training for corporate✔ R&D: Quantum Machine learning and Research

Leads Data Science and AI initiatives in Operations Intelligence and AML, Trade surveillance, Compliance analytics. Enjoy leading Tech Expos,startup on-boarding, Hackathons, Conducted First CCIC Hackathon on Apr 2019 in Citibank on HackerEarth Platform. Won D10X hackathon by Citi Ventures on 12 Sep 2019 by creating Supply-Side shock news MVP for Citi Commodities Traders. Submitted 2 Research papers in NeurIPS 2019 conference workshop and about Quantum machine learning in 2020 workshop

Client - JP Morgan Chase BankProject:-The Quantitative Analytics Team (QAT) within Financial Crimes Technology is responsible for measuring the effectiveness of the Anti-Money Laundering (AML) monitoring program and developing new strategies to identify suspicious and high risk activity. Responsible for data readiness within QAT team work closely with AML system Mantas to extract monitoring logic and then implement into the QAT analytic platform, manage the data aggregation process, conduct data quality validation, transform data to analytical visualization engine, and lead QAT statisticians for further data enhancements/enrichment.Role: • Handling tremendous amount of transaction activities for data science models.• Proficient SQL experience, specifically in PL/SQL, R, Tableau, SAS and performance tuning• Implementing AML monitoring logic to aggregate transaction level data for the team to conduct statistical analytics on Mantas AML scenarios.• Constructing dashboards to visualize data in a visualization tool (such as Spot fire)• Guiding the team on various data sources,big data feeds for various analytic usages• SOX Audit, ISAE 3402 audits and Forensic data and internal audits conductions and SPOC for KPMG auditor.• Budgeting,MS Project scheduling,WBS, Impact Analysis, Trainings and resourcing, Applying Machine learning strategies for optimization.