Sep 2024 – May 2025 · 8 mos · Bengaluru, Karnataka, India · Hybrid

• Collaborated with cross-functional teams to define technical solutions using LLMs for text and audio data.
• Led and mentored AI/ML teams, ensuring delivery of projects aligned with privacy and compliance standards.
• Built NLP pipelines for tasks like question answering, sentiment analysis, and feature extraction using LLMs.
• Developed end-to-end RAG applications with LLaMA 2, GPT-3.5, BART, and LlamaIndex via Hugging Face and OpenAI.
• Implemented data cleaning and machine unlearning techniques to improve model relevance and performance.
• Automated weekly data ingestion from sources like APIs, Confluence, CSV, and databases, improving QA system accuracy by 20%.
• Designed deep learning models with TensorFlow, PyTorch, and Keras for unstructured data (text, audio, images).
• Built a process mining-based customer segmentation tool that increased efficiency by 25%.

Nov 2023 – Feb 2024 · 3 mos · Bengaluru, Karnataka, India · Remote

• Led the design and development of scalable backend solutions using Golang and gRPC microservices, driving high-performance service architectures capable of handling large user bases and complex use cases.
• Integrated Rust into critical components, improving performance and efficiency, especially in resource-intensive modules, to ensure high throughput and low-latency processing.
• Utilized Lua for lightweight scripting and configuration management, enabling faster development cycles and custom extensibility in key parts of the system.
• Spearheaded the implementation of AI-driven features, including predictive analytics for loan risk assessment and personalized recommendations, using machine learning models to optimize user experience and business outcomes.
• Integrated RabbitMQ for asynchronous messaging, ensuring robust communication between distributed services while incorporating AI algorithms for real-time data analysis and decision-making.
• Collaborated closely with cross-functional teams, guiding the full development lifecycle—from API design to debugging complex issues in production—while mentoring junior engineers on best practices and advanced technologies.
• Led optimization efforts across the platform, ensuring minimal downtime, improving fault tolerance, and predicting system behavior under heavy load using AI/ML models for traffic forecasting and resource scaling.
• Focused on maintaining high code quality with extensive unit tests, continuous integration pipelines, and peer code reviews, ensuring secure, clean, and maintainable code across all teams.
• Successfully handed over the project upon leaving, providing comprehensive documentation on backend services and AI/ML integrations, as well as conducting training sessions for the new team to ensure a seamless transition.

May 2023 – Sep 2023 · 4 mos · Mumbai, Maharashtra, India · Remote

• Developed scalable backend solutions using Golang and gRPC microservices, focusing on high-performance architectures capable of supporting growing user demands, while integrating AI-driven algorithms to enhance service efficiency.
• Leveraged RabbitMQ for efficient asynchronous message processing, improving communication between distributed services and ensuring high system reliability, while incorporating AI models for real-time data analysis and decision-making.
• Collaborated with cross-functional teams to build and optimize APIs, contributing to the AI-powered features such as recommendation engines and dynamic loan risk assessments, enhancing the overall user experience and operational workflows.
• Worked on AI/ML integrations for predictive analytics, using data insights to optimize system performance and improve fault tolerance by predicting traffic spikes and adjusting resource allocation dynamically.
• Maintained a strong focus on code quality, writing unit tests for both backend services and AI algorithms, and participated in peer reviews to ensure the code was clean, maintainable, and secure.
• Successfully transitioned the project upon leaving, providing detailed documentation on both backend services and AI model implementation, while offering post-departure support to ensure a smooth handover and continued success.

Jan 2022 – May 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

• Worked as a Backend Developer focusing on building microservices architecture using Golang and gRPC ensuring high performance, scalability, and maintainability of core services.
• Designed and implemented asynchronous communication workflows using RabbitMQ, optimizing message processing and reducing system latency in high-traffic environments.
• Played a key role in developing and maintaining the loan management module, covering key functionalities such as application processing, approval workflows, disbursement logic, and repayment scheduling.
• Collaborated with cross-functional teams including product managers, QA, and frontend engineers to ensure smooth integration and timely delivery of backend services.
• Wrote unit and integration tests to ensure code reliability and participated in code reviews to uphold clean coding standards.
• Contributed to improving overall system architecture by refactoring legacy components into modular, testable services.
• Completed my tenure with a successful handover of documentation, system knowledge, and support for smooth transition post-departure.

Sep 2021 – Jan 2022 · 4 mos · Lucknow, Uttar Pradesh, India · On-site

• Designed and developed a comprehensive financial ERP system for JEEViKA, a government-backed livelihood initiative, enabling seamless financial operations for over 20,000 users across multiple districts and administrative levels.
• The system included modules for budgeting, expense tracking, fund disbursement, loan management, reporting, and compliance with state financial protocols.
• Led a team of 5 software engineers, overseeing architecture, code quality, sprint planning, and delivery timelines using Agile methodologies.
• Collaborated closely with stakeholders and domain experts to gather requirements, validate financial workflows, and align the platform with real-world field operations.
• Conducted training sessions for over 50 JEEViKA staff members, including non-technical users, ensuring smooth system adoption, operational efficiency, and reduced dependency on manual processes.
• Implemented role-based access control, automated reporting, and audit trails to maintain security and data integrity.
• Integrated the ERP with third-party services for SMS notifications, document management, and government APIs for real-time financial updates.
• Resulted in a significant improvement in transparency, traceability, and financial governance, empowering local teams with digital tools for effective program execution.

Apr 2013 – Sep 2021 · 8 yrs 5 mos · Varanasi, Uttar Pradesh, India · Hybrid

• Tech Stack: Go (Golang), Python, PHP, MySQL, PostgreSQL, MongoDB, REST APIs, Docker, Git
• Key Responsibilities and Achievements:
• Developed and deployed full-stack applications for e-commerce, NBFC, EdTech, and business management systems.
• Built scalable backend architectures using Go, Python, and PHP tailored to client-specific requirements.
• Designed RESTful APIs with secure authentication and role-based access control.
• Created e-commerce platforms with payment gateway integrations (e.g., Razorpay, Stripe), product catalogs, and order tracking.
• Delivered NBFC solutions including customer onboarding (KYC), loan processing, EMI calculations, and compliance workflows.
• Built ERP and CRM systems for educational institutions and SMEs, covering attendance, fee management, and HR features.
• Integrated third-party services such as SMS/email providers, accounting tools, and cloud storage APIs.
• Managed data storage and optimization using MySQL, PostgreSQL, and MongoDB.
• Containerized applications using Docker for consistent development and deployment environments.
• Implemented CI/CD pipelines with Git and GitHub Actions to automate build and deployment workflows.
• Collaborated closely with clients to gather requirements, propose solutions, and iterate based on feedback.
• Delivered admin dashboards and reporting tools for operational visibility and business insights.
• Refactored legacy systems for improved performance, maintainability, and scalability.
• Provided post-deployment support, including bug fixes, feature updates, and performance monitoring.
• Mentored junior developers and enforced best practices in code quality, testing, and documentation.
• Adapted quickly to diverse project scopes, continuously learning new technologies to meet business needs.