Hello! I am an ambitious developer and researcher with a profound enthusiasm for solving complex challenges and building innovative solutions. Currently pursuing a Master of Science in Computer Engineering at Arizona State University, I bring over five years of experience in software and cloud development. In my current role as an Associate Cloud Developer at ASU's AI Cloud Innovation Center (Powered by AWS), I design and implement scalable generative AI and multi-agent solutions using AWS Bedrock, Lambda, and SageMaker, delivering impactful innovations for public-sector and academic challenges. Previously, I worked with industry leaders like Tata Consultancy Services and Wipro Limited. At TCS, I played a pivotal role in modernizing Amazon Pay's backend systems by transitioning from monolithic to microservices architecture using Java, Spring Boot, and AWS — significantly improving scalability and reducing deployment times.
Beyond professional achievements, I am deeply invested in advancing the field of artificial intelligence through research and impactful projects. My scholarly contributions include publications on earthquake prediction using SVM and diabetic retinopathy detection using CNNs, reflecting my commitment to leveraging AI for societal good. Recent projects like the Career Assistant System and the AI Tutor showcase my passion for building intelligent, human-centered systems that combine Cloud Computing and Agentic AI to enhance learning and career experiences. With a versatile skill set spanning Python, AWS, and machine learning frameworks, I am dedicated to creating scalable and transformative solutions that address real-world challenges. Connect with me on LinkedIn or explore my work on GitHub.
Sayantika Paul
Arizona State University
Tempe, Arizona, USA
602 -813- 6419
spaul56@asu.edu
sayantika.paul9977@gmail.com
Master of Science in Computer Engineering• August 2024 - May 2026
Relevant Coursework:
Bachelor of Technology in Electronics & Communication Engineering• June 2016 - July 2020
Relevant Coursework:
AI Cloud Developer • January 2025 - Present • Arizona, United States
Designing and leading Generative AI and multi-agent system initiatives at ASU’s AWS AI Cloud Innovation Center, developing RAG pipelines and Bedrock-based LLM frameworks that improved response accuracy by 35% and reduced retrieval latency by 40%. Spearheading end-to-end architecture and deployment using AWS Lambda, SageMaker, DynamoDB, S3, API Gateway, and Docker, while implementing adaptive monitoring with CloudWatch and SES to cut incident resolution time by 45% and deliver scalable, production-grade AI/ML solutions for public-sector innovation.
Software Development Engineer II• March 2023 - July 2024 • Bangalore, United India
During my tenure at Tata Consultancy Services, I led the modernization of Amazon Pay’s backend infrastructure by designing and deploying scalable microservices using Java, Spring Boot, and AWS, improving system throughput by 25% and reducing deployment time by 30%. I spearheaded the migration of legacy monolithic systems to microservices, enhancing reliability and scalability across millions of transactions. Collaborating within Agile teams, I automated CI/CD pipelines with Jenkins, maintained 85% test coverage with JUnit, and ensured secure, audit-ready releases with consistent 99.95% uptime.
Software Development Engineer• September 2020 - February 2023 • Bangalore, India
At Wipro Limited, I took ownership of developing and optimizing REST APIs and backend services for the Lloyds Banking Group project using Java, Spring Boot, JDBC, and MySQL, improving response times by 20%. I led the migration from monolithic systems to Kafka-based microservices, reducing infrastructure costs by 30% and enhancing scalability. Working in Agile sprints, I collaborated with cross-functional teams to resolve over 100 production-critical issues, conduct code reviews, and optimize low-level networking (HTTP/TCP/IP), reducing incidents by 25%. Additionally, I designed distributed storage architectures using MongoDB and MySQL, integrating Splunk and Dynatrace to achieve 99.9% uptime with proactive monitoring.
I have a passion for exploring new technologies, learning continuously, and building innovative solutions. Here are some of the projects I've worked on.
Developed an AI career assistant in collaboration with ASU Career Services, for career exploration and job search; leveraging Bedrock Agent Core with Graph RAG for intelligent recommendations and SQS for automated daily job alerts; selected for presentation at the Agentic AI Conference 2025.
TECHNOLOGY: Bedrock AgentCore, Lambda, DynamoDB, Neptune Graph, React.js, SQS, EventBridge, Docker
Engineered a multi-agent AI tutor with five interactive modes, deployed on ASU’s SOL supercomputer with LLMs, LangChain pipelines, FAISS, and Whisper transcription: recognized as an NVIDIA AI Spark Hackathon Finalist.
TECHNOLOGY: Python, Flask, Angular, Ollama, LangChain, FAISS
Collaborated with Oregon State University on a research project to build an AI chatbot for blueberry farmers, integrating semantic search, SES-triggered feedback, multilingual support, administrative dashboard for analytics & content management.
TECHNOLOGY: Python, AWS Bedrock Agent, Nova, Lambda, API Gateway, OpenSearch, CDK, TypeScript
Developed a hybrid deep learning model combining CNNs and RNNs for Speech Emotion Recognition (SER), achieving 91% accuracy for applications in mental health diagnostics and human-computer interaction.
TECHNOLOGY: Python, TensorFlow, CNN-RNN, Librosa, Supercomputer of ASU
Developed Retailer Fraud Detection during the HackSoda Hackathon, a real-time AI tool that helps eCommerce and Amazon FBA sellers identify high-risk suppliers and prevent fraudulent transactions in global supply chains.
TECHNOLOGY: Python, LLM, Generative AI, Streamlit, AWS EC2
Designed and developed a full-stack hotel booking engine using Node.js, REST API, MongoDB, and ReactJS, enabling seamless and scalable reservations. The system ensures fault-tolerant database transactions, enhancing reliability and user experience.
TECHNOLOGY: Node.js, REST API, MongoDB, ReactJS
International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Proposed a novel machine learning framework for seismic event forecasting using PolSAR data, integrating ESC and SVM to achieve up to 96% accuracy in cross-domain built-up area extraction and orientation-robust classification.
International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Engineered a deep learning pipeline using Convolutional Neural Networks (CNN) to detect and classify diabetic retinopathy stages from retinal fundus images, achieving 92% accuracy in early-stage diagnosis and enabling automated, scalable screening.
Attending the Grace Hopper Celebration 2025 (Nov) on a full scholarship; participated in their virtual career fair, engaging with recruiters from top tech firms and expanding professional network with 20+ industry connections.
Actively involved with Women in Computer Science at ASU, contributing to peer mentoring, organizing networking events, and promoting leadership opportunities for women in tech. (since September 2024)
Mentored junior students and led the organization of technical workshops and events through tech club MEGATRONIX and IEEE Communication Society at college, fostering a culture of innovation and collaborative learning. (2017-2020)
Completed AI Skills Challenge of Microsoft Fabric: Gained hands-on skills in data analytics, data ingestion, and visualization through MS Fabric.
Received Ira A. Fulton Schools of Engineering Graduate Scholarship for Fall 2024 and Spring 2025 for academic excellence at Arizona State University.
Honoured with TCS Gems "Xcelerate Warrior" Award for outstanding performance and leadership in the workplace.
Finalist in Lab Hackathon organized by UK Client of Wipro, demonstrating technical innovation and problem-solving skills.
Achieved 1st position in the Water Rocket Competition at Inter-college Techfest PARIDHI, showcasing engineering excellence and teamwork.
If you want to connect me, you can seme me an email here. I'm open to new research/project ideas.