At Synechron, my team focuses on pioneering AI applications that reshape business landscapes, specifically through Natural Language Processing and Generative AI. We've effectively harnessed these technologies to empower clients with advanced AI solutions, elevating their operational capabilities and strategic insights.My role transcends technical expertise, as I guide C-suite executives through the intricacies of AI strategy and its practical implications. Our collective efforts have positioned us at the forefront of AI innovation, as we continue to break new ground in the application of machine learning and data science to real-world challenges.Key Achievements:• Developed a comprehensive GenAI Application ‘Agentic AI for Data’, to manage data engineering, big data, business intelligence and predictive analytics workflows• Contributed to developed of Synechron Nexus AI Suite of applications powered by Generative AI (Codifai – GenAI for SDLC, AI.Call – GenAI for Call-centers)• Developed multilingual Speech-to-text applications using OpenAI Whisper• Developed Legacy code migration accelerators for COBOL to Java, PHP to Python• Conducted a global xPrize Hackathon for the organization on Generative AI in collaboration with Microsoft• Supporting business functions and sales by participating in C-Suite client meetings and demonstrating AI & ML capabilities• Playing an advisory role to C-Suite executives on AI & ML strategies• Keynote Speaker at MachineCon India 2024 – GCC summit and Speaker at CYPHER 2023

Developed a custom object detection application for preventive maintenance of roads for Goodroads.ioDeveloped a fashion recommendation engine for an e-commerce start-up

- Developed a deep learning application using word embedding and Long Short-term Memory (LSTM) neural networks to predict accidents, aircraft damage and fatalities in civil aviation using NTSB accident reports- Submitted a paper to Safety Science Journal, titled "Sequential Deep Learning from NTSB Reports for Aviation Safety Prognosis"

- Built Predictive Model to predict WiFi router usage

- Non-destructive testing of luxury consumer electronics to detect warranty fraud and tampering

- Using Random Forest algorithm, I developed a root-cause analysis prototype tool (F1-score 90%)- Developed a root-cause analysis tool using Proportion Tests to find defects in Quality tests in the factory

- Developed a collabrative filtering match-making recommendation engine and A/B tested it in some US cities

- Built Predictive and Prescriptive models for Demand Prediction for Supply Chain- Developed a Random Forest algorithm to predict Upsell of Cisco hardware- Developed a sales forecasting predictive model using regression analysis- Implemented a deep learning prototype application for face recognition- Generated sales leads by inferring purchase intent by analyzing click-stream data using Graphs

- Implemented Android and Samsung Bada platform-based devices-convergence product- Designed and implemented the Policy Manager Security feature for widgets based on BONDI/JIL standards- Designed and coded the Handset Statistics feature to collect and upload statistics about widget activity

- Created a fully automated stress test suite in Perl & XML to determine Rate-Limiter server's performanceEnvironment: Perl/C++/PHP/MSQL/XML/Perforce/Linux

- To support and maintain NCR FastLane (FL) software - Fixed bugs related to the transaction control flow and customer account lookup feature - Worked on team to deliver 4.2/POS 6.2.5, HomeDepot Canada- Completed requirements analysis for Casino hotel buffet automation kiosk softwareEnvironment: C/C++/XML/UML/MS-VSS

- To design and implement the next generation Type-X airline information system standard - Implemented serialization and deserialization of TypeB messages to convert into TypeX standard- Adapted the LMX XML parser to automatically generate XML parsing code using XML schema as input- Completed design and documentation for parsing TypeB messagesEnvironment: C/C++/Perl /XML /XSD /UML /UNIX Shell Script/ UNIX CVS/ Oracle

- Developed new product features for CDR-90 Hematology device- Created UML diagrams from Use-Cases- Used model-driven development and test-driven development- Implemented system configuration features and unit tests- Provided the trigger mechanism for alerts on devices- Worked with Registry Win32 API to update/retrieve software release versionEnvironment: C/C++/Perl/ XML/Windows/Rational Clearcase/Clearquest /DOS /MS-SQL Server

- To teach freshmen, sophomore and graduate students computer science courses- Taught the following courses at the undergraduate and graduate levels: Introduction to Computing, Data Structures and Algorithms in C++, C++ Programming & Foundations of Computer Graphics and Image Processing