Software Developer

PRANAVKUMAR SAKARIYA

+1-514-***-**** Mail: ******************@*****.*** LinkedIn: Pranav Sakariya Github: pranav-sakariya SKILLS

Programming Language: Python, Java, C, C++, HTML, CSS, Shell scripting Frameworks & Technologies: FastAPI, Next.JS, React.Js, Tailwind CSS Database & Devops: Docker, AWS, Azure, Git, Kubernetes, PostgreSQL, MongoDB Version Control: Git, GitHub, BitBucket

Methodologies: Object Oriented Programming,Test Driven Development, Agile, Scrum EXPERIENCE

Software Developer Engineer July 2022 - Aug 2023

Mit Solutions Surat, Gujarat

• Engineered a microservices-based ERP backend system integrating core financial modules, achieving 16% perfor- mance improvement through optimized database indexing and caching.

• Implemented an ACID-compliant, fault-tolerant transaction rollback system to reduce data corruption and system failures across the platform.

• Architected role-based access control (RBAC) security framework, enabling 5-tier hierarchical user management system, reducing unauthorized access attempts across 110+ API endpoints. Software Developer Engineer Intern May 2021 - July 2021 Mit Solutions Surat, Gujarat

• Built reusable UI components using Next.js and React.js, creating modern and responsive interfaces and inte- grating backend APIs.

• Developed high-performance REST API using FastAPI and SQLAlchemy ORM using asynchronous processing to efficiently handle high traffic.

EDUCATION

Concordia University Montreal, QC, Canada

Masters of Applied Computer Science Sep 2023 – May 2025 Dharmsinh Desai University Nadiad, GJ, India

Batchelor of Technology In Computer Engineering June 2019 – May 2023 PROJECTS

DeployMate: Automated Deployment Pipeline

Docker, AWS ECS, AWS ECR, Redis, Socket.IO, S3

• Engineered an automated deployment pipeline using Docker and AWS ECS for seamless code deployment.

• Implemented parallel deployments using isolated Docker containers and AWS ECR for efficient resource manage- ment.

• Developed a real-time monitoring system with Redis, Socket.IO, and an integrated S3 reverse proxy for efficient file streaming.

ChatPDF: RAG solution for PDF Querying

Next.js, React.js, TypeScript, OpenAI API, PineconeDB, PostgreSQL, AWS SDK

• Processed PDFs using LangChain and OpenAI to convert text into vectors for efficient storage and retrieval in PineconeDB.

• Implemented a caching query system to reduce the response time by 10%, using cosine similarity to match user queries with relevant PDF content.

• Integrated an LLM to generate accurate and contextually relevant responses, improving user interaction with document data.

Picsy: Image Search Engine Using OpenSearch

• Built an inviting user interface and search index for images generated by AI models like Midjourney, Stable Diffusion, and PlaygroundAI, using AWS OpenSearch, Next.js, and FastAPI.

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