May 2024 – Dec 2025 · 1 yr 7 mos · India · On-site

• AI Assistant and Agent Development: Designed and built advanced AI Assistants and AI Agents, capable of performing various tasks through skill-based function calling. These AI systems utilized advanced Retrieval-Augmented Generation (RAG) techniques to provide precise answers by synthesizing information from diverse data types, including documents, transaction histories, and database-driven insights.
• Innovative AI Solutions: Spearheaded the development of AI-driven products like AssistAI, integrating state-of-the-art technologies such as Claude, Gemini, Cohere, LlamaIndex, LangChain, and LangFuse. We also used small language modals and open source modals such as Phi-3.5, Llama 3.1, and other HuggingFace modals. Leveraged multi-modal AI capabilities to enhance e-commerce search and user engagement, significantly improving product relevance and user satisfaction.
• Strategic Roadmap and Experimentation: Led a dynamic engineering team of around 6 in executing a strategic product roadmap, fostering a culture of rapid experimentation and continuous learning. The team’s innovations contributed to early product success and strong market positioning.
• Customer Onboarding and AI-driven Support: Managed the onboarding and support processes for the first wave of customers using these AI products, ensuring smooth transitions and optimizing AI models based on initial user feedback, leading to high customer satisfaction.
• Compliance and Ethical AI Governance: Maintained stringent compliance and security standards for AI deployments, ensuring that all AI solutions adhered to industry regulations and ethical guidelines, thereby protecting user data and maintaining trust.

Feb 2022 – Apr 2024 · 2 yrs 2 mos · India · On-site

• AI Assistant and Agent Innovation: Pioneered the development of sophisticated AI Assistants and AI Agents with skill-based function execution, enabling advanced task management and user interaction. These systems employed cutting-edge RAG techniques to generate accurate responses by accessing a wide array of data sources, including documents, transactional databases, response data, and benchmarking information.
• AI-Driven Product Growth: Integrated advanced AI models such as OpenAI, and Gemini into Xebo.ai’s core offerings, driving substantial improvements in product capabilities. This strategic AI integration was instrumental in scaling the company’s ARR from $900K to $4M in just two years.
• Multi-Modal and Hybrid AI Systems: Developed and deployed hybrid AI systems that combined semantic search, keyword-based retrieval, and structured data queries, significantly enhancing the platform’s ability to handle complex user queries and provide actionable insights.
• Team Leadership and AI Strategy: Led five specialized teams with around 35 engineers across R&D, DevOps, QA, and Compliance, steering them toward achieving AI-driven innovation while maintaining rigorous compliance with SOC2, HIPAA, GDPR, PCI DSS, and ISO standards.
• Client-Focused AI Solutions: Delivered highly customized AI solutions for high-profile clients like Emirates, Visa, and BCG, leveraging the AI platform's versatility to meet the unique needs of diverse industries and use cases.

Feb 2021 – Feb 2022 · 1 yr · Chennai, Tamil Nadu, India · On-site

• SDLC Management: Oversaw all phases of the software development life
• cycle, ensuring seamless transition from requirements gathering to system
• testing and user acceptance.
• Business Analysis Expertise: Analyzed client business processes to design
• and strategize software applications that meet unique needs.
• Revenue Growth Leadership: Led 3 cross-functional scrum teams,
• increasing revenue from $1.5M to $2.3M in under a year through innovative
• feature proposals and expedited delivery.
• Scrum Master Excellence: Directed 3 product developments, delivering
• each under budget by 10% and maintaining a perfect on-time milestone
• achievement rate.
• Agile Methodology Implementation: Collaborated with Product Owners
• and Agile teams for effective backlog management and sprint planning,
• facilitating daily scrum meetings to ensure progress and resolve
• impediments.
• Agile Coaching: Enhanced team performance by embedding Agile practices,
• conducting essential training to cultivate an Agile culture.
• Technical Mastery: Demonstrated proficiency in Python, Django, Docker,
• AWS, and Firebase, committed to continuous learning and professional
• growth.
• InfoSec Management: Ensured HIPAA and SOC2 compliance for US-based
• client projects, including BCBS and Zipari.

Jul 2020 – Feb 2021 · 7 mos

• SDLC and Agile Leadership: Managed all SDLC phases and implemented Agile practices, boosting team productivity and ensuring smooth project transitions.
• Business and Revenue Growth: Drove revenue from $1.5M to $2.3M by leading three scrum teams and aligning software solutions with client needs.
• GPT-3 Pre-training: Key contributor to GPT-3's initial pre-training and fine-tuning on programming, enhancing its code generation capabilities.
• Tech Stack: Delivered solutions using Python, Django, Docker, AWS, and Firebase.
• InfoSec and Compliance: Maintained HIPAA and SOC2 compliance for US-based clients, including BCBS and Zipari.

Jan 2019 – Jun 2020 · 1 yr 5 mos

• APIandIntegrationDevelopment:CraftedRESTAPIsusingPythonDjango and Flask, with remote third-party integrations.
• ML-Based Recommendation Engine: Implemented a machine learning-based recommendation engine to enhance customer personalization and improve product discovery for D2C brands.
• Vision Systems for Inventory Quality Control: Integrated computer vision systems to ensure the quality of both inbound and outbound inventory, detecting damages and preventing defective products from reaching customers.
• ML-Based Sales Prediction for Inventory Management: Designed and deployed machine learning models to predict sales trends, optimizing inventory management and reducing overstock and stockout scenarios.
• Technical Stack: Utilized Python, TensorFlow, and AWS SageMaker, ensuring seamless integration with Ohi's existing systems.

Apr 2016 – Dec 2018 · 2 yrs 8 mos

Apr 2014 – Mar 2016 · 1 yr 11 mos

Jun 2012 – Mar 2014 · 1 yr 9 mos

Jun 2010 – May 2012 · 1 yr 11 mos