Highly skilled AI Engineer with over 2 years of experience specializing in Generative AI, Backend Development, AIOps, MLOps, and Cloud Computing. Proven ability to design and deploy scalable AI workflows and automation pipelines that deliver measurable business impact, including reducing manual workload by up to 95% and increasing sales engagement by 15%. Adept at leveraging advanced AI models and cloud architectures to solve complex problems and drive operational efficiency.
Florida, Florida, US
→
Summary
Led the development and deployment of advanced AI solutions for healthcare, enhancing patient care and operational efficiency within a wellness group managing 20+ clinics.
Highlights
Developed and deployed a medical AI copilot using Google MedGemma on AWS SageMaker with a Vercel AI SDK frontend and Neo4j graph database.
Designed a Retrieval-Augmented Generation (RAG) pipeline to track and update patient records, providing doctors with context-aware recommendations during appointments.
Built and deployed a scalable AI-powered voice scheduling platform, enabling 90% of appointments to be booked instantly without human intervention.
Reduced phone wait times to zero through concurrent call handling, significantly improving patient access and operational efficiency.
Toronto, Ontario, Canada
→
Summary
Pioneered intelligent project management and organizational data management solutions using Agentic AI, driving innovation as a Founding AI Engineer for a startup.
Highlights
Engineered a Multi-Cloud Data Ingestion pipeline, connecting to SharePoint, Google Drive, Teams, Zoho CRM, and Jira APIs for automated document fetching and updating, eliminating manual effort across multiple platforms.
Designed and implemented a 'semantic chunking' process to intelligently split documents into logical sections, enhancing AI model processing and context retention.
Developed a Vector Embedding Search Architecture, converting parsed chunks into vector embeddings and ingesting them into a vector database to enable high-accuracy semantic retrieval for RAG and AI-driven workflows.
Built an agent-based AI chatbot in Langflow for client onboarding, capturing requirements through natural language interaction, guiding users with tailored instructions, and executing platform actions.
Developed an n8n workflow for an AI-Powered CRM, analyzing meeting transcripts, extracting key insights, and automatically updating lead information in CRM, streamlining data entry and improving sales efficiency by 50%.
Built and configured an In-House Email Server with Postfix to intelligently route and manage emails across subdomains, improving organization, delivery efficiency, and internal workflow.
Chennai, Tamil Nadu, India
→
Summary
Contributed to an EdTech platform with over 1 million users, developing scalable backend and AI solutions to support students in pre-medical entrance exams.
Highlights
Built a computer vision system for Automated Test Grading AI, automatically grading multiple-choice pre-med mock tests, reducing manual work by 95% and improving accuracy by 25%.
Designed and implemented a Multi-Cloud Backup & Failover System with automated failover from GCP to AWS, ensuring zero downtime and data integrity for an EdTech platform with 1M+ users.
Developed an AI-powered chatbot using Google Cloud Dialogflow to handle sales and customer support interactions, resulting in a 15% increase in sales engagement and a 50% reduction in manual support workload.
Patna, Bihar, India
→
Summary
Developed scalable backend infrastructure and integrated critical systems for a gamified learning platform, transforming science concepts into interactive experiences.
Highlights
Deployed scalable backend infrastructure on Amazon EC2 using Dockerized containers, ensuring robust and efficient operation for a gamified learning platform.
Integrated Cashfree payment gateway, enabling seamless and secure financial transactions for platform users.
Implemented robust authentication mechanisms using JWT and bcrypt in NestJS, enhancing system security and user data protection.
Developed and automated CI/CD pipelines to facilitate seamless, continuous deployment of games on the web, significantly improving release cycles.
Awarded By
VIT
Awarded the scholarship for all 4 years of study due to excellent academic performance throughout the programme at Vellore Institute of Technology.
Linux, Windows, MacOS, AWS, GCP, Azure.
Python, JavaScript, TypeScript.
NodeJS, ExpressJS, ReactJS, NextJS, NestJS.
Langflow, N8n, Zapier, Make, Botpress, Voiceflow.
Langchain, LangGraph, LangSmith, LlamaIndex, Model Context Protocol, Vector Databases, Graph Databases, RAG.
TensorFlow, Keras, Scikit-learn, Hugging Face, OpenCV, NLTK, SpaCy, Amazon Bedrock, Amazon SageMaker, Computer Vision, Natural Language Processing (NLP).
Kubernetes, Docker, GIT, PostgreSQL, MySQL, SQLite, MongoDB, Postman, CI/CD, Deployment Pipelines.
Machine Learning, Artificial Intelligence, Generative AI, Deep Learning, Web Development, DevOps, MLOps, AIOps.
→
Summary
Integrated AI voice support and backend automation with Shopify, inventory management, and CRM for a global sports nutrition brand, resolving issues of constant human intervention in customer support and order management.
→
Summary
Developed an AI Agent to process meeting transcripts, extract key details, and populate structured intake forms for a non-profit nurturing entrepreneurs and startups, addressing delays in onboarding and follow-up.