Quick Summary
I'm keen to build smart AI solutions that make life easier and interactions smoother. I'm an AI Engineer with experience in developing conversational bots and optimising AI systems with NLP. My aim is to create user-friendly AI that boosts efficiency and solves real problems.
Who am I?
Hey, I’m Sandeep, and I’m really excited about the AI Engineer/Developer role. I’ve spent my career building smart AI solutions that make interactions smoother and processes more efficient.
At Kaplan, I designed chatbots that boosted customer self-service rates by 25%. Then, at Verizon, I led projects that improved system reliability by 15% through full-stack development. I’m the kinda guy who’s all about diving into data, optimising NLP accuracy, and solving real problems.
I’m not just about coding; I also collaborate with teams and communicate effectively, ensuring projects hit deadlines and exceed expectations. I’m eager to bring my hands-on expertise to create AI solutions that drive results!
At Kaplan, I designed chatbots that boosted customer self-service rates by 25%. Then, at Verizon, I led projects that improved system reliability by 15% through full-stack development. I’m the kinda guy who’s all about diving into data, optimising NLP accuracy, and solving real problems.
I’m not just about coding; I also collaborate with teams and communicate effectively, ensuring projects hit deadlines and exceed expectations. I’m eager to bring my hands-on expertise to create AI solutions that drive results!
Why should you hire me?
Full-Stack AI Expertise: I drive end-to-end AI solutions, from designing conversational bots to optimising backend processes, enhancing user interactions and system reliability.
NLP Optimisation Pro: I make AI smarter with NLP, boosting accuracy and cutting down misrouted interactions, ensuring smoother customer service.
Cross-Functional Collaborator: I team up with diverse teams to deliver impactful software releases, hitting project deadlines and improving user experience across the board.
Data-Driven Problem Solver: I leverage data to optimise AI workflows, speed up data exchange, and enhance overall system performance, improving reliability.
Profile Fit
AI & Conversational Technologies: Making Machines Talk and Listen
Problem Solving: Turning Challenges into Opportunities
Full Stack Development: Bridging Code and User Experience
Collaboration & Communication: Building Bridges in Tech
Previous Experiences
Verizon — Full Stack AI Consultant
Primary Responsibilities: Managed the full software development lifecycle for critical applications, designed and built web applications, optimized databases, and supported cross-functional teams.
Specific Projects and Contributions: Enhanced user interaction by 20% by delivering eight new features, and improved system reliability by 15% through optimizing database performance.
Contribution to Mission: Supported Verizon’s mission by ensuring the timely delivery of major software releases, which consistently met project deadlines.
Skills Developed: Full Stack Development, Angular, Node.js, Database Optimization, Cross-Functional Team Collaboration, and Project Management.
Primary Responsibilities: Managed the full software development lifecycle for critical applications, designed and built web applications, optimized databases, and supported cross-functional teams.
Specific Projects and Contributions: Enhanced user interaction by 20% by delivering eight new features, and improved system reliability by 15% through optimizing database performance.
Contribution to Mission: Supported Verizon’s mission by ensuring the timely delivery of major software releases, which consistently met project deadlines.
Skills Developed: Full Stack Development, Angular, Node.js, Database Optimization, Cross-Functional Team Collaboration, and Project Management.
Koach.AI — Full Stack Engineer
Primary Responsibilities: Led requirements gathering, system analysis, and directed conversational AI projects using Google CCAI.
Specific Projects and Contributions: Developed advanced NLP/NLU models across 3 new communication channels.Collaborated with clients to improve data flow efficiency for innovative AI features.
Contribution to Mission: Improved project launches by resolving critical issues during user acceptance testing within 24 hours, guaranteeing smooth deployments.
Skills Developed: Project Management, GCP - Google Cloud Platform, CCAI, Start-up Experience, NLP/NLU.
Primary Responsibilities: Led requirements gathering, system analysis, and directed conversational AI projects using Google CCAI.
Specific Projects and Contributions: Developed advanced NLP/NLU models across 3 new communication channels.Collaborated with clients to improve data flow efficiency for innovative AI features.
Contribution to Mission: Improved project launches by resolving critical issues during user acceptance testing within 24 hours, guaranteeing smooth deployments.
Skills Developed: Project Management, GCP - Google Cloud Platform, CCAI, Start-up Experience, NLP/NLU.
Kaplan — Conversational Bot Engineer
Primary Responsibilities: Designed and developed voice and chat bots, optimized conversational AI systems, and engineered intent classification models.
Specific Projects and Contributions: Increased customer self-service rates by 25% by building five+ voice and chat bots. Improved NLP accuracy by 18% for over 100,000 customer interactions daily, reducing misrouted interactions by 20%.
Contribution to Mission: Provided solutions that directly enhanced user experience, supported 50,000+ monthly user engagements, and improved customer interaction times.
Skills Developed: Conversational AI, Google Dialogflow, Genesys, Natural Language Processing, Intent Classification, Team Collaboration, and Customer Engagement.
Primary Responsibilities: Designed and developed voice and chat bots, optimized conversational AI systems, and engineered intent classification models.
Specific Projects and Contributions: Increased customer self-service rates by 25% by building five+ voice and chat bots. Improved NLP accuracy by 18% for over 100,000 customer interactions daily, reducing misrouted interactions by 20%.
Contribution to Mission: Provided solutions that directly enhanced user experience, supported 50,000+ monthly user engagements, and improved customer interaction times.
Skills Developed: Conversational AI, Google Dialogflow, Genesys, Natural Language Processing, Intent Classification, Team Collaboration, and Customer Engagement.
Cyqurex Systems — Associate Software Engineer
Primary Responsibilities: Developed system programming, provided responsive post-launch support, and improved code quality through code reviews.
Specific Projects and Contributions: Developed system programming and comprehensive support processes, creating test automation scripts that increased testing coverage by 25% for faster releases.
Contribution to Mission: Increased software reliability by improving code and function design, enhancing overall system performance and ensuring a better user experience.
Skills Developed: System programming, code review, test automation, Cyber Security, Android, Penetration Testing.
Primary Responsibilities: Developed system programming, provided responsive post-launch support, and improved code quality through code reviews.
Specific Projects and Contributions: Developed system programming and comprehensive support processes, creating test automation scripts that increased testing coverage by 25% for faster releases.
Contribution to Mission: Increased software reliability by improving code and function design, enhancing overall system performance and ensuring a better user experience.
Skills Developed: System programming, code review, test automation, Cyber Security, Android, Penetration Testing.
Previous Projects
AI-Powered Customer Support Chatbot
Project Name: Integrated Conversational AI for Enhanced User Experience. Solution: Developed and optimized a conversational AI system using Google Dialogflow and Genesys, integrating NLP to enhance user understanding.
Project Description: This chatbot project aimed to automate customer support tasks by building an AI system capable of effectively handling 100,000+ daily interactions, relevant for its direct application of conversational AI, which is a crucial skill for an AI Engineer.
Conclusion: Achieved a 25% increase in customer self-service rates and reduced the workload on human agents, leading to cost savings and improved response times.
Project Name: Integrated Conversational AI for Enhanced User Experience. Solution: Developed and optimized a conversational AI system using Google Dialogflow and Genesys, integrating NLP to enhance user understanding.
Project Description: This chatbot project aimed to automate customer support tasks by building an AI system capable of effectively handling 100,000+ daily interactions, relevant for its direct application of conversational AI, which is a crucial skill for an AI Engineer.
Conclusion: Achieved a 25% increase in customer self-service rates and reduced the workload on human agents, leading to cost savings and improved response times.
Verizon My Business Chatbot
Solution: Designed conversational flows to guide users, created an Angular-based front-end to engage users, used Google Dialogflow CX for the backend, and made the bot handle many requests.
Project Description: Spearheaded the development of an enterprise-level chatbot for Verizon My Business using Google Dialogflow CX and Angular for the front end. The chatbot assists the sales team and customers, provides support, and streamlines business processes.
Conclusion: Enhanced sales processes by 30%, improved lead generation by 20% through optimized conversational flows, and increased user engagement by 40% with an enhanced Angular-based front end.
Solution: Designed conversational flows to guide users, created an Angular-based front-end to engage users, used Google Dialogflow CX for the backend, and made the bot handle many requests.
Project Description: Spearheaded the development of an enterprise-level chatbot for Verizon My Business using Google Dialogflow CX and Angular for the front end. The chatbot assists the sales team and customers, provides support, and streamlines business processes.
Conclusion: Enhanced sales processes by 30%, improved lead generation by 20% through optimized conversational flows, and increased user engagement by 40% with an enhanced Angular-based front end.
System Reliability Improvement through Full-Stack Optimization
Project Name: Full Stack Revamp to Boost System Reliability.
Solution: Managed the software development lifecycle, designed web applications with Angular and Node.js, and optimized databases to enhance data retrieval speeds.
Project Description: Undertook a full-stack development project to overhaul and streamline existing systems, enhancing database performance. This project is key to illustrating the full-stack capabilities required for an AI Engineer, especially in backend optimization.
Conclusion: Improved overall system reliability by 15% and boosted user interaction by 20%, resulting in better user satisfaction and efficiency.
Project Name: Full Stack Revamp to Boost System Reliability.
Solution: Managed the software development lifecycle, designed web applications with Angular and Node.js, and optimized databases to enhance data retrieval speeds.
Project Description: Undertook a full-stack development project to overhaul and streamline existing systems, enhancing database performance. This project is key to illustrating the full-stack capabilities required for an AI Engineer, especially in backend optimization.
Conclusion: Improved overall system reliability by 15% and boosted user interaction by 20%, resulting in better user satisfaction and efficiency.
Kaplan Professional Education & Kaplan Test Prep Chatbot
Solution: Integrated the chatbot with Genesys CCAI and enabled seamless transition to live agents via Genesys integration.
Project Description: Developed a chatbot using Google Dialogflow and Node.js for Kaplan's education platforms to automate responses to student inquiries and improve student satisfaction.
Conclusion: Automated responses to 60% of student inquiries, reduced average customer wait times by 40% through Genesys CCAI integration, and decreased abandonment rates by 15% during peak hours.
Solution: Integrated the chatbot with Genesys CCAI and enabled seamless transition to live agents via Genesys integration.
Project Description: Developed a chatbot using Google Dialogflow and Node.js for Kaplan's education platforms to automate responses to student inquiries and improve student satisfaction.
Conclusion: Automated responses to 60% of student inquiries, reduced average customer wait times by 40% through Genesys CCAI integration, and decreased abandonment rates by 15% during peak hours.
Other Achievements
- Recognized by the AVP of Verizon, India, for exceptional collaboration and innovation in integrating 'Velocity Assist' into SPOG Copilot, revolutionizing sales processes and driving substantial business growth.
- Resolved a long-standing Mybiz Chatbot session timeout issue, significantly improving user experience after six months of unresolved problems.
- Received a STAR Award of appreciation at Kaplan for exceptional service and outstanding contributions, making a significant positive impact on the organisation.
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