E-Commerce Information Technology

ASHISH DNYANESHVAR PARULEKAR

+1-937-***-**** *********.********@*****.*** Dayton, OH, USA linkedin.com/in/ashish-parulekar/ github.com/ashi-ish

EDUCATION

University of Dayton

August 2023 - May 2025

Master's, Computer Science

GPA: 3.6

International Institute of Information Technology Bengaluru

January 2022 - May 2023

Master's, Data Science

GPA: 3.64

Saraswati College of Engineering

August 2016 - May 2020

Bachelor's, Computer Engineering

GPA: 3.23

PROFESSIONAL EXPERIENCE

Striv AI, Inc.

San Francisco, CA, USA

Full Stack AI Research Intern

June 2025 - Present

•Reduced manual security review time by 70% by implementing backend security policies leveraging data structures and design patterns for the GitHub-based LLM Agent Trust Verification pipeline, utilizing GitHub Actions to automate vulnerability detection.

•Increased user engagement by 40% by engineering and deploying backend services with optimized data architecture using cloud technologies and Supabase, integrating e-commerce workflows through GitHub Marketplace and interactive UI features.

•Achieved 95% verification completion rate and improved repository credibility by automating Infrastructure as Code processes and backend integration using shell scripts and Vercel-hosted endpoints, supporting Agile development cycles.

•Enabled continuous vulnerability detection and secure deployment by designing and maintaining backend CI pipelines using cloud technologies, applying design patterns and code review practices to ensure production readiness.

University of Dayton Research Institute

Dayton, OH, USA

Machine Learning Research Associate

January 2025 - Present

•Achieved 95% simulation accuracy in quantum entanglement modeling by engineering backend computational models that leveraged advanced data structures and design patterns, utilizing Python-driven simulations and Agile methodologies for rapid prototyping.

•Processed over 10,000 molecular interaction simulations and contributed to 3 published papers by designing and implementing scalable data architecture, integrating cloud technologies for collaborative development and efficient model deployment.

•Established new research protocols adopted by 2 additional teams by developing and documenting infrastructure as code practices, improving reproducibility and maintainability in collaborative quantum science projects.

•Delivered pioneering insights into complex molecular dynamics by applying object-oriented design and reusable design patterns to build modular, extensible backend simulation tools, incorporating concepts relevant to e-commerce data processing workflows.

Grab A Grub Service Limited

Mumbai, Maharashtra, India

Software Development Engineer

June 2022 - June 2023

•Improved backend database efficiency by 20% and reduced response time by 18% in an e-commerce application by optimizing SQL/NoSQL queries and applying data structures and design patterns.

•Achieved 50% reduction in security breaches and 20% better data protection for backend systems by implementing encryption protocols and multi-factor authentication.

•Processed 50,000+ daily API requests with 99.9% uptime and boosted adoption by 25% by deploying backend RESTful APIs using Agile, cloud technologies, and infrastructure as code.

•Enabled support for 5,000+ concurrent users and earned SOC 2 compliance by applying advanced data structures and cloud technologies to backend services.

Hungama Media Private Limited

Mumbai, Maharashtra, India

Software Developer

January 2021 - May 2022

•Improved platform reliability by 20% for a high-traffic e-commerce backend, supporting 500,000+ users by engineering scalable APIs with Node.js and applying data structures and design patterns to optimize performance.

•Reduced query response time by 30% and boosted user engagement by 25% in a cloud-based environment by optimizing data architecture and implementing advanced indexing strategies in SOLR and MongoDB.

•Achieved 99.5% service availability and cut deployment time by 70% by deploying backend microservices using Infrastructure as code principles with Docker, Kubernetes, and cloud technologies.

•Accelerated development cycles and improved code quality by collaborating in Agile sprints, delivering backend features, and ensuring best practices for scalable solutions.

•Gained practical exposure to Java and Spring frameworks by collaborating on integration projects, designing RESTful API interfaces, and facilitating data exchange between Node.js and Java microservices.

Nimap Infotech

Mumbai, Maharashtra, India

Associate Software Developer

December 2019 - December 2020

•Enhanced backend code quality by 95% and reduced bug reports by 40% by collaborating on 10+ code reviews with senior developers, leveraging data structures and design patterns to set best practices for e-commerce applications.

•Improved application scalability by 200% and cut infrastructure costs by 30% by deploying scalable microservices architecture using Docker, AWS cloud technologies, and Infrastructure as Code for e-commerce platforms.

•Increased system efficiency by 30% and reduced downtime by 80% by integrating CI/CD pipelines, optimizing SQL, and refining API performance in an Agile environment.

•Strengthened team capabilities in backend development and data architecture by mentoring peers and standardizing best practices for scalable, cloud-native systems.

•Contributed to robust API and service integration by designing RESTful APIs using Swagger and the MEAN stack, while supporting the adoption of Java and Spring for backend services.

PROJECTS & OUTSIDE EXPERIENCE

AI- Driven MultiCloud Platform

Remote

March 2025 - March 2025

•Achieved 99.9% uptime and reduced deployment time by 75% for an AI-powered e-commerce platform by architecting and deploying a fully automated backend infrastructure using Infrastructure as Code with Kubernetes, Docker, and Terraform across AWS, Azure, and Google Cloud.

•Processed 10,000+ AI requests daily with sub-200ms response times by integrating OpenAI, Claude, and Amazon Bedrock APIs and enhancing backend delivery pipelines with CI/CD, Agile methodologies, and cloud technologies.

•Contributed to $500K+ annual infrastructure cost savings by implementing Infrastructure as Code, optimizing backend data architecture, and applying design patterns for scalable, highly available e-commerce systems.

•Increased user engagement and conversion rates by 40% by leveraging modern data structures, RESTful API design, and cloud technologies to deliver performant backend solutions with Java and Spring for e-commerce applications.

Credit Card Fraud Detection

Remote

January 2023 - March 2023

•Reduced fraud detection latency by 40% in a real-time backend transaction processing system by designing and implementing efficient data structures and design patterns using Java, Spring, and cloud technologies including AWS RDS and NoSQL.

•Handled 100K+ transactions per second with high accuracy by utilizing Kafka for streaming, AWS RDS and NoSQL databases for cloud-based backend storage, supporting e-commerce security requirements.

•Improved risk assessment accuracy by 30% by developing and optimizing a scalable data pipeline and robust data architecture with Hadoop, AWS RDS, and NoSQL in an Agile environment.

•Enhanced operational efficiency and deployment reliability by implementing infrastructure as code for backend services, leveraging AWS and cloud technologies to automate deployment and streamline operations.

•Link to Project

Object Detection

Dayton, OH, USA

January 2025 - May 2025

•Reduced fraud detection latency by 40% and prevented $2M in annual losses by engineering a real-time backend transaction system for e-commerce using Kafka, AWS RDS, NoSQL, cloud technologies, data structures, and design patterns.

•Improved risk assessment accuracy by 30% and cut false positives by 25% by developing a scalable backend data pipeline with Hadoop, NoSQL, AWS RDS, and optimized ETL, enhancing data architecture.

•Validated over 59,000 transactions and set a security benchmark by deploying infrastructure as code and RESTful APIs using Java, Spring, and Agile practices.

•Processed 100K+ transactions per second in production by building a high-throughput backend system for e-commerce with distributed computing, cloud technologies, and robust design patterns.

•Link to Project

SKILLS

Skills: Python, Java, JavaScript, MySQL, NoSQL, Docker, MATLAB, Pandas, AWS, Oracle, MongoDB, Bootstrap, Postman, Git, HTML/CSS, AngularJS, Apache Kafka, Data Science, Data Structures & Algorithms, Express.js, Figma, Go, JIRA, Jupyter, Keras, Linux/Unix, Microsoft Azure, Natural Language Processing (NLP), Nest.js, Node.js, NumPy, R, RDBMS, React.js, REST APIs, SQL, Tensorflow, Web Development, API, Communications, Artificial Intelligence, Deep Learning, Image Processing, Customer Service, Heroku, Hadoop, Jenkins, Kubernetes, MailChimp, Mongoose, Postgres, Power BI, Product Management, Quality Assurance (QA), Redis, Software Testing, TypeScript, Docker, Amazon Web Service, Terraform, Figma, C/C++, Amazon Bedrock, Jira, OpenAI, ClaudeAI, Apache Spark, Apache Hive, Babel, Computer Vision, Elasticsearch, Google Cloud Platform, LLM, Machine Learning, Microservices, Nginx, Pytorch, RxJavaScript, Kafka, Hadoop, Adobe Illustrator, Business Analytics, Excel/Numbers/Sheets, Operations Research, Zendesk, SEO

Languages: Hindi, Gujarati, Marathi

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