Oct 2023 – Oct 2025 · 2 yrs · Austin, Texas, United States · Remote

• Member of the Founding Team, building FinanceOps from the ground up. As the first engineer hired from the data science and engineering team, I’m leading the creation of the world’s first fully autonomous AI agent for debt collection and other CFO functions.
• Designed and built a scalable data science, ETL, and analytics platform to support diverse, enterprise-grade use cases.
• Architected and developed the Autopilot system—an AI-powered omnichannel automation platform designed to intelligently engage customers and ensure compliance with FDCPA and PII regulations.
• Architected and built end-to-end voice infrastructure from scratch, enabling both AI-assisted (VoIP) and fully autonomous (Voice AI) phone conversations, with integrated real-time transcription and AI capabilities for diverse calling use cases.
• Developed a generic data integration ETL platform for seamless ingestion and egression with multiple external data sources, enhancing interoperability and automation.
• Architected and developed a serverless cron scheduler system to automate critical workflows—abstracting away infrastructure and ensuring reliable, scalable execution.
• Built a centralized DB access service with a scalable data model and unified service layer to streamline and standardize data interactions across applications.
• Engineered AI Summarization for concise conversation history summaries increasing productivity by 30%.
• Designed and implemented AI Check Send to ensure factual accuracy and regulatory compliance in outbound communications.
• Enforced FDCPA protocol and PII compliance through automated data masking to protect sensitive information.
• Built a Workflow Automation Framework to streamline routine tasks and enhance collector productivity.
• Integrated Stripe to enable seamless and secure payment processing.
• Optimized the CI/CD pipeline with a one-click deployment solution to accelerate release cycles.

Jul 2023 – Oct 2023 · 3 mos

• Designed and integrated “HRC GPT-Bot,” an LLM-powered chatbot using LangChain with RAG, reducing Salesforce SLAs by 80% through efficient retrieval from user and technical documentation.
• Engineered the transition from a monolithic to a hybrid-poly architecture, reducing maintenance complexity by 40% and accelerating deployment processes, enabling the team to deploy updates 3X faster.
• Enhanced the crypto-utils for AES encryption, ensuring seamless integration and reusability across various components as needed.

Jul 2022 – Jun 2023 · 11 mos

• Designed & developed "Smart Email Reply" and "Smart Email Compose" to reduce AR collectors' effort in sending out personalized emails leveraging AI to customers saving collector's time by ~8% daily.
• Designed & developed a framework to read incoming emails from customers, and perform actions expected to be done by collectors leveraging AI (Multi-label classification, entity recognition via NER-RE) to customers saving collector's Time by ~10% daily.
• Designed LLD & developed E2E microservices-based cloud-native pipelines leveraging ML & NLP solutions at scale.
• Designed, developed, and optimized cross-product API-based solutions via scalable servers for real-time ML prediction enabling high-performance computing.
• Improving and optimizing internal cloud utility operations and architecture(s) for better performance and usage.

Jun 2021 – Jun 2022 · 1 yr

• Led a team working on multiple Fortune 500 CPG clients automating their AR worklists incorporating ML (Regression and imbalanced classification) reducing manual efforts by ~30%.
• Worked on R&D and development of in-house DB & framework automation platforms improving productivity by 95%.
• Improved existing AI solutions by ~15% in Automation, Revenue Savings by ~35% and Productivity by 95% via incorporating new features and optimizing the in-house hybrid-cloud deployment platform.
• Developed a one-click internal monitoring framework to automate the evaluation of AI and business implementations, eliminating any manual effort.

Jun 2020 – Jul 2021 · 1 yr 1 mo

• Responsible for teaching in online live classes, preparing its syllabus, and content creator for Python and Machine Learning.

Jul 2019 – Jul 2021 · 2 yrs · Bhubaneshwar, Orissa, India

• Assistant Manager, Data Science Department.
• Contributing to Data Science R&D Projects and Web-Based Applications.

May 2018 – Jul 2018 · 2 mos · Guwahati Area, India

• Worked under the Project of "RF Optimization and Network Planning", Bharti Airtel, NESA.