Lead Full Stack AI Engineer at MA Technologies (2025-04 – Present)
- Led the architecture and design of scalable AI-based systems and new product features, driving clinical automation and operational efficiency.
- Conducted code reviews and enforced best engineering practices to maintain high-quality, production-ready code.
- Planned and managed testing and production deployments, ensuring system reliability and performance.
- Designed and deployed an AI Voice assistant for clinical research, automating patient screening and scheduling processes, reducing manual effort by 30%.
- Build AI Agents with real-time with scheduling workflows using Vapi, FastAPI, Azure, and Gemini and OpenAI for intelligent automation.
- Collaborated with cross-functional teams to deliver AI-driven solutions, reducing recruiter workload by 40% and boosting operational efficiency.
- Managed end-to-end testing and production deployments, achieving 99.9% system reliability and optimal performance for AI services.
LLM Prompt Engineer at Turing (2024-10 – 2025-02)
- Developed, tested, and refined effective prompts for Large Language Models (LLMs), optimizing AI output for specific responses and enhanced user satisfaction.
- Identified and defined use cases where AI models can drive value through innovative prompt-based solutions.
- Conducted rigorous iterative testing of prompts, improving model output quality, reducing bias by 20%, and ensuring consistency.
- Optimized prompts to reduce ambiguity by 15%, significantly maximizing the accuracy and relevance of LLM responses.
- Analyzed AI-generated outputs and integrated user feedback, enhancing system efficiency by 10% and improving user satisfaction.
Senior Software Engineer at Optimyse (2021-05 – 2024-06)
- Led the full-stack development of a SAAS multi-tenant E-Commerce web application, ensuring seamless integration and optimal functionality.
- Engineered Python scripts for efficient bulk data loading into various stores, improving data processing efficiency by 25% through advanced business logic.
- Innovated a Python Sitemap Builder app, optimizing site crawling efficiency by indexing thousands of product URLs.
- Pioneered a real-time product monitoring service using Python Scrapy and Selenium, improving competitive intelligence and inventory management.
- Automated product migration across multiple stores with a bespoke Python FastAPI application, reducing migration time by 50%.
- Architected and implemented a Python APScheduler-based scheduling service, enabling proactive order monitoring and reducing issue resolution time by 20%.
- Established standardized checklists and guidelines for new store launches, tracked tasks using JIRA.
- Orchestrated Firebase projects for user authentication and analytics to improve operational efficiency.
FullStack Engineer at Dijit Labs AI-OCR (2023-05 – 2023-07)
- Automated data extraction from invoices and delivery notes using Angular Material and Java Spring Boot, increasing processing efficiency by 35%.
- Contributed to the automation of data extraction from invoices and delivery notes. This involved developing forms utilizing Angular Material on the frontend and implementing backend functionalities using Java Spring Boot.
- Ensured seamless software integration and efficient operation, providing users with accurate, timely insights that streamlined business operations by 20%.
- Deployed and managed applications on AWS EC2, S3, and Lambda, enhancing scalability, storage, and leveraging serverless computing for cost efficiency.
Team Lead at 5Cube (2019-02 – 2021-05)
- Led a dynamic cross-functional team of 8+, proactively resolving issues and steering development efforts to ensure daily successful project delivery.
- Led a dynamic cross-functional team, proactively resolving issues and steering development efforts to ensure successful project delivery on a daily basis.
- Conducted productive meetings with international clients, collaboratively defining product requirements and fostering strong relationships, resulting in 95% client satisfaction.
- Crafted comprehensive project proposals and estimated deliverable milestones, demonstrating a keen understanding of project requirements and timelines.
- Engineered a robust Django REST API using Flask and PostgreSQL, facilitating efficient storage of data from learning management systems.
- Architected a cutting-edge Resume and Job Scoring & Matching Engine using Django REST Framework, improving candidate evaluation precision by 25%.
- Developed a modern Retail Management system with offline data syncing, utilizing Django REST Framework, Angular, and PostgreSQL, enhancing operational fluidity by 30%.
- Conceptualized and implemented a Logo Editor using Vue.js and MongoDB, combining creativity with technical expertise to deliver an innovative design tool.
- Designed and developed a high-performance Mobile Application using Flutter and Firebase, offering streamlined functionality and seamless user experiences for efficient project tracking and management.
