A dedicated AI and Software Engineer with a perpetual passion for DevOps. Proven record in implementing AI solutions to enhance real-world problems 
and streamline deployment processes 
.
CRAZY TECHIE WHO WANTS TO EXPLORE EVERY TECH STACK
I build AI-driven systems that replace inefficiency with seamless automation.
From microservices to cloud-native architectures, I design systems that grow effortlessly.
Great code is useless if it isn’t understood—communication is key to real innovation.
January 2023 - May 2025
Coursework:
September 2018 - May 2022
Coursework:
Revamped a full-stack e-learning platform using ReactJS, modularizing UI components and refactoring state management with Redux to eliminate excessive prop passing. Reduced backend load and improved response times by caching frequent API calls with Redis LRU caching. Automated CI/CD pipelines with Jenkins and Docker for streamlined deployments across 8+ backend services.
Built a real-time fraud detection system leveraging machine learning and rule-based heuristics, enabling bulk transaction analysis for businesses and real-time consumer fraud alerts via Plaid API and SMTP notifications. Enhanced fraud detection accuracy by applying SMOTE for class imbalance, streamlining real-time transaction processing with Flask, and optimizing MongoDB queries, reducing false positives by 40% while maintaining sub-second response times.
Built a full-stack real estate marketplace with property listings, JWT-secured API and optimized search using MongoDB text indexes and Redux for state management. Integrated Google OAuth via Firebase Authentication, handled image uploads with Firebase Storage, enabled real-time listings with MongoDB change streams, and deployed on Render for scalability
Developed a cloud-native AI-driven fraud detection pipeline, leveraging Azure Event Hub and ML risk models to reduce false positives and unauthorized transactions. Enhanced real-time security monitoring by integrating event-driven anomaly detection with Microsoft Sentinel, enabling faster threat response and automated incident analysis
Developed a cloud-native car reservation system with Azure AD B2C authentication, car listing, booking management, and email notifications, leveraging CosmosDB and SendGrid for efficient data storage and transactional messaging. Implemented event-driven architecture with Azure Service Bus, secured APIs via Azure API Management, and enhanced observability using Application Insights for logging and telemetry.
Built a Flask-based assistive tool for converting live lectures into structured notes, leveraging SpeechRecognition for real-time transcription and GeminiAPI for text summarization to enhance accessibility for students. Implemented real-time audio capture with MediaStream API and built a custom WAV conversion pipeline in JavaScript to ensure compatibility with SpeechRecognition for seamless transcription and note storage
Developed a desktop-based image editor using Java Swing, applying SOLID principles and following MVC where applicable to ensure modularity and maintainability. Implemented Test-Driven Development for backend logic, optimized image processing with parallel computations, and ensured robustness with extensive JUnit test coverage for core processing.
Developed an NLP-based system that classifies health conditions from user-input symptoms, leveraging TF-IDF and ML models to provide structured health plan recommendations. Trained and compared Naive Bayes, Passive Aggressive Classifier, and TF-IDF with 3 n-grams, achieving 91.16% test accuracy using Precision-Recall evaluation on symptom-based health classification
Developed an AI-powered pathfinding system for hospital robots, implementing the A* algorithm to compute optimal routes dynamically and visualize movement using JavaFX-based interactive hospital layouts. Designed a user-friendly administrator tool to map hospital layouts, modify routes, and analyze shortest paths with cost evaluations, integrating automated error handling and email notifications for inaccessible paths.
Trained a CNN in TensorFlow/Keras to predict 15 facial keypoints from 96x96 grayscale images, achieving an MSE of 0.02 on the validation set, enabling accurate facial landmark detection for real-world applications. Improved model robustness by normalization, augmentation, hyperparameter tuning, and dropout regularization, efficiently processing 7,000+ images for accurate, deployment-ready facial analysis.
Built a high-concurrency order processing system for a university canteen, leveraging Spring MVC and deploying on AWS EC2 with Auto Scaling to handle high user traffic efficiently. Optimized inventory tracking using event-driven architecture with Apache Kafka, ensuring consistency via transactional locking (Hibernate) and improving data retrieval with GraphQL for dynamic client queries
Built a web app for saving and organizing locations with descriptions, images, and categories using Django, Mapbox, and Google API for real-time mapping and reverse geocoding. Implemented dynamic map updates and seamless CRUD operations with Django REST Framework, AJAX, and JavaScript, enabling real-time place management without page reloads.
Built a cloud-based Android marketplace for direct farm-to-consumer sales, integrating Google Pay API for secure transactions and Firebase Firestore for real-time order tracking and inventory updates. Ensured app stability with JUnit and Espresso testing, using Firebase Cloud Functions for automated order processing and refining UI/UX with MVVM architecture and Jetpack Components.
Built an interactive learning app introducing kids (ages 5-12) to technology, UI/UX, and app development through pre-rendered animated lessons, interactive quizzes, and gamified challenges. Developed a cross-platform Flutter app with Firebase Authentication and Firestore, embedding Lottie-based After Effects animations and Canva assets for an engaging, child-friendly experience
Built a real-time medical assistant enabling instant symptom analysis and emergency triage, integrating voice-based input, AI-driven assessments, and real-time data processing for faster and more accurate patient assistance. Built a real-time hospital routing system using Google Maps API, dynamically connecting patients to the nearest hospitals based on real-time location data
Developed a cloud-based file storage system, enabling users to securely upload, retrieve, update, and delete files, leveraging AWS S3 for scalable storage and CloudFront for accelerated content delivery. Implemented an event-driven architecture using AWS Lambda and SNS for automated notifications, secured APIs with Amazon API Gateway, and deployed on Elastic Beanstalk with auto-scaling and load balancing for high availability.
Designed a mindful user feed in React Native–Node.js, enforcing a 30-post limit and optimizing engagement through content curation while securing sessions via JWT authentication. Implemented NoSQL indexing for curated search and enabled real-time messaging with Firebase Cloud Messaging to enhance user engagement and platform reliability
Achievements, Certifications, Award Letters and Some Cool Stuff that I have done !
All India Rank (AIR) 03 in NCAT (National Creative Aptitude Test 2021) Exam Category 3 out of >5000 students.
Recognized as one of the best performers in 2022 Q4 - specifically for being a fast learner - by the Solution Architect Sr. Manager.
- Salesforce Certified Administrator - Salesforce Certified Omnistudio Consultant - Salesforce Certified Omnistudio Developer
Focused on the design of cost and performance optimized solutions.
With Love for Developing cool stuff, I love to write and teach others what I have learnt.
I enjoy talking to new people so feel free to mail or connect with me
Made with 
in Boston