Our Gen AI software-as-a-service platform empowers clients to configure models from Azure, Google, and AWS, and integrate them with various vector databases to perform Retrieval-Augmented Generation (RAG) functionalities. The platform supports structured, unstructured, and vision data as inputs, enabling comprehensive querying capabilities. Additionally, we have developed a prompt library that allows customers to select and configure prompts according to their specific needs.

This tool aids underwriters in making decisions about the renewal of commercial properties. The Gen AI application processes key documents, such as renewal applications and fire service certificates, cross-references them with underwriting guidelines, and generates a Go/No-Go decision.

AI-powered insurance process intelligence designed to assist adjudicators and team leads in decision-making for Personal Auto and Homeowner lines of business.Developed AI/ML models to predict severity, complexity, triaging and segmentation, next best action, cycle time, litigation likelihood, volume, and capacity.Utilized CatBoost algorithm, transformer models, Azure ML Studio, and Google Vertex AI to build these models.

Content extraction from documents using Azure form recognizerForm classification using Azure Custom VisionCreated Buyer recommendation model using Collaborative Filtering Algorithm in Python and deployed as dockers with CI/CD Pipeline into Azure Web App.Downstream applications deployed as Flask API and .NET API with CI/CD Pipeline

Its a customized chat bot framework developed in Java integrated with diversified NLP engines (IBM, Google, LUIS.ai) and different channels (Web UI Widget, Mobile UI Widget, Skype, Teams).Employee Engagement is the core functionality of the bot which helps the employee to get answers on FAQs, HR Manuals, Compliance Manual, Policy Manuals etc.The bot has been integrated with 3rd party/LOB tools such as Calendar, Timesheet, Ticket Management toold (ServiceNow), employee engagement tools (Training, Travel booking) to ease employees life.MFA with OAuth + SSO implementation for user authorization.

Customized chat bot framework developed in Java integrated with diversified LUIS engines and many channels. Core functionality includes employee engagement.

Open FAQ bot helping new user queries on JIRA tool and related information. Integrated with Skype channel and fetches information from JIRA using APIs.

Its an open FAQ bot helps the new user queries on JIRA tool and the related information such as SPOC details, how to get access etc. It has been integrated with Skype channel. Also fetches information from JIRA using APIs to provide simple status reports such as ticket list, ticket status, listing based on priority etc.

Developed various bots for different purposes like knowledge bot, snow bot, navya bot, food ordering bot, fashion store, meeting associate, HRM bot. Also worked on machine learning projects.

To do Effort and Estimation on RFPsProviding solution architecture for the AI projectsCreate POCs in Artificial Intelligence, Machine Learning, ChatbotsTrain resources in latest technologies, involve in recruitment process specifically on latest skill set.

Handling six different teams in different technology (.NET, KendoUI, Coldfusion, ExtJS) which are following Agile-Scrum Practice.40% technical and 60% Management activitiesTo suggest and implement Best Practices, Process improvementsManaging the Team Members by Regular Status reports. Should keep the team Compliance.Responsible to report and receive feedback from Client & Client Partner on weekly basisHandling monthly review meetings with Stake Holders to discuss Key Updates, Risk and Mitigation plansShould create Status Reports and Dashboards to Top ManagementShould provide technical solutions whenever necessary from low level to high levelNeed to create/review Arch. Changes. Provide estimation for the changes.Should speak and convenience the Client/Client partner to increase the head count and conversion of old technology projects

Its a project estimation tool for SAP and NON-SAP projects with following features:Controls each phase start and end date points in SDLCManages Project Management, Artifact, Contingency effortsControls the share percentage of each Role at each phase in all phases of SDLCGenerates shared FT hours chart for all roles on monthly basis between the given project period.

• 50% technical and 50% Management activities
• To suggest and implement Best Practices, Process improvements
• Managing the Team Members by Regular Status reports. Should keep the team in Compliance.
• Handling monthly review meetings with Stake Holders to discuss Key Updates, Risk and Mitigation plans
• Need to create/review Arch. Changes. Provide estimation for the changes.

Content Legacy Core Products/Tools (KBA, KBB, and e-Mail alert) support the maintenance of content and mapping of client data to the MedAssets Best Practice Catalog (BPC).
▪ Content management tools are used to build, manage and replicate the proprietary data (Best Practice Catalog) inside MedAssets.
▪ Best Practice Catalog contains a standard code for a drug or supply item, which is widely used by the internal clients in their own products to increase the Profitability of the organization.
▪ Knowledge Base Builder (KBB) is an internal data management tool
▪ KBA an internal tool which validate, build and replicated the BPC
▪ E-Alerts are notifications send via emails to the clients detailing the changes in coding rules (if any) and the impacted charge items within their CDM

It is a “Statistical BI Reporting Application” developed in VBA macro which in turn generate Sales rep. performance analysis, Medicine market Analysis, Statistical performance information based on Prescriber, Institution & top-level Region. Also, displays Chart for comparison for all the reports.
SDLC of this project is under SLA compliance. The project management follows Agile and Scrum methodology. As a Scrum Master I should maintain Sprint backlog Trackers and technically lead the Sprint Team.
Several Tools are developed for end user to reduce their effort. They are developed using WCF n-tier architecture and hosted in Windows Services.

Conversion project from existing Excel VBA to .NET with some enhanced features, for the following modules.All these modules share data with SAP-ERP using BAPI calls through Malsy. Project management followed Waterfall methodology.Actual Data ImportInterface to upload the Battery shipping date & time and calculate Battery manufacturing start date & time using the lead times. These timings are uploaded into ERP through BAPI calls for data feed into Robots.Production Planning SequenceInterface for sequencing and planning the battery production in emergency situations. This is based on quantity & batches and depends on the plant idle time calendarPart CalculationThis is to forecast no. of Parts to be produced for each Plant in a given period of time. This involves many calculation procedures.

BOTS:
• Knowledge Bot – This is a Bot for Johnson & Johnson which assists the user with regards to JIRA tool. The bot is secured using SSO login and integrated with JIRA APIs.
• Snow Bot – a bot integrated with ServiceNow instance through API helps user to create ticket, get live ticket status, recommendation leveraging solution exists.
• Navya Bot – An intelligent bot anytime provides analytical status to the Management. Suggest test plans to execute. Proactively pops message on any critical situations.
• Food Ordering Bot - a virtual assistant for the POS counter to get orders through voice from the customer.
• Fashion Store – A complete voice based virtual assistant “developed in Dialogflow”, photo captures the customer and identifies the gender and age, then display products based on it. Running through conversational way, understands the context and display offer products, different colors of a product and adds the product to cart as on confirmation.
• Meeting Associate – Completely BOT enabled AI application. Implements Face attendance, Video Analysis. Speech enabled Bot provides all meeting related information (ex: Agenda, participants list, mailing documents etc.)
• HRM Bot – Complete solution for HR process through Bot and Cloud solution
MACHINE LEARNING: - Python 3.x, Flask, Docker Hub, ML Studio, Azure Web App
1. Face Auth API - An application trained to expose “Face Model”. The Model is exposed as an API to consume by other applications. Handles new Face registration, Face recognition, Lists registered faces, remove faces, Re-create faces from a list of images.
2. Recommender System – An application exposes “Recommender Model” as an API in fashion retail based on reviews and rankings of customer historical data. Integrated with Fashion store application.
3. Key Text Extraction – An application extracts key skills from the Resumes and provide recommendation for the HR to do mapping with requirements. Integrated with HRM bot.
Azure Services Handled:
• Face API, Custom Vision API, Computer Vision API, Speech API, OCR, Video Indexer
• LUIS, Text Analytics, Translator, Search API, Form recognizer
• QnA Maker, Form Bot, QnA Bot, LUIS Bot, Cognitive Enabled Bot, Multi Dialog Bot, Proactive Bot
• Bot Channels – Direct, WebChat, Facebook, Telegram, Email

Investment management and corporate treasury solution addressing the mid-market segment with support for variety of asset classes (Equity & Debts) with complete Workflow management

Share Broking Back-office Management Package, Manages Equity and F&O trades received from 160+ trading terminalsContract Note generation, Trade Aggregation, Brokerage, STT on Trade data. Manages Demat deliveries of Scrips, Accounting information such as Ledger balance, Receipts and Payments of trading clients

Computerized Arbitrage Trading System. Brokers Front and Middle office Solution and Portfolio Management System. Highly automated environment for recording, monitoring, settling and managing the different portfolios of client transactions like Orders, Trades, Payments. The pre-trade risk management is also monitored with the client collateral to the broker

Deal Management with Settlement Diary caters to the needs of institutional investors like Insurance firms, Mutual Funds, Corporate Treasuries and Banks. It is an end-to-end solution proving from Deal capture to Multi-Currency accounting, risk management, multiple levels of user defined Deal/Voucher approval and comprehensive MIS