Open to opportunities

Shweta Sharma

@shwetasharma8

Message

Full-Stack Developer with 8+ years of experience in web applications.

United States

Message

What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth, where I can leverage my skills in full-stack development and AI to contribute to impactful projects.

I am a Full-Stack Developer with over 8 years of experience in building scalable web applications and intelligent platforms. My expertise lies in React.js, Next.js, and Tailwind CSS on the frontend, complemented by solid backend experience in Node.js and Python. I have a proven track record of modernizing legacy systems and optimizing backend performance, integrating advanced AI tools to enhance decision support and user experience.

Throughout my career, I have successfully translated complex business logic into seamless applications using agile practices and cloud-native tools like Firebase and AWS. My recent projects include developing a full-stack AI assistant that reduced decision latency by 40% and leading the deployment of a modular GenAI platform that supports multi-domain functionalities. I am passionate about leveraging technology to create impactful solutions that drive efficiency and innovation.

Experience

Work history, roles, and key accomplishments

Current

AI Developer Intern

Current

Spanda.AI

Jun 2025 - Present (1 month)

Built and deployed a modular, multi-domain GenAI platform using Next.js, TypeScript, and LangChain, enabling domain-isolated assistants and EdTech services powered by agentic frameworks and custom orchestration workflows. Led cloud deployment and monitoring of AI pipelines using GCP, Firebase, Docker, LangSmith, and PromptLayer, delivering scalable, secure, and real-time multi-agent systems across

Next.js TypeScript Lang Chain GCP Firebase Docker Langsmith PromptLayer

AI Software Developer

DecisionFlow

Sep 2024 - Present (10 months)

Developed a full-stack AI assistant for supply chain planners using Streamlit, Python, and OpenAI GPT-4, reducing decision latency by 40% through dynamic dashboards, contextual memory, and interactive visualizations. Built backend logic for multi-turn query classification, fuzzy entity mapping, and optimization workflows by integrating LangChain, Gurobi, and structured pipelines across demand, pro

Streamlit Python OpenAI GPT 4 Lang Chain Gurobi Data Visualization Supply Chain Management

Advanced App Engineer

Accenture

Mar 2022 - Present (3 years 4 months)

Revamped a legacy billing platform using React.js, Node.js, and Python by delivering modular full-stack components with reusable UI and APIs that leverage web services, achieving 40% faster invoicing and boosting cross-team efficiency. Delivered reusable frontend libraries and component-driven architecture, cutting UI defects by 30% and accelerating onboarding across teams.

React Node Python REST APIs UI Development API Development Web Services

Senior Software Engineer

Accenture

Apr 2021 - Present (4 years 3 months)

Transformed legacy insurance dashboards using a modern React + TypeScript architecture and integrated backend APIs via Node.js, improving code reusability by 70% and accelerating feature delivery cycles. Designed and implemented a search interface with React.js and RESTful API integration, resulting in a 35% reduction in onboarding-related support tickets within the first month of deployment.

React TypeScript Node RESTful APIs UI UX Design API Integration

Software Engineer

Tech Mahindra

Mar 2020 - Present (5 years 4 months)

Developed dashboards for locomotive systems using React.js and integrated backend data via RESTful APIs, enabling timeline zoom functionality that reduced onboarding time by 30% and improved root cause identification by 20%. Optimized full-stack performance by reworking frontend components and streamlining backend data responses, cutting page load times by 60% and lowering bounce rate by 25%.

React RESTful APIs Backend Data Visualization

Jr. Software Engineer

Zensar Technologies

Aug 2015 - Present (9 years 11 months)

Created 10+ reusable Mobile app components for the Zensar app platform, resulting in a 20% reduction in code duplication and a 15% faster development cycle for new features. Contributed to the development and maintenance of various software modules, ensuring high-quality code and adherence to best practices.

Mobile App Development

Education

Degrees, certifications, and relevant coursework

University of California, Davis

MS, Business Analytics

Pursued a Master of Science in Business Analytics, focusing on data-driven decision-making and analytical techniques relevant to business operations. Gained expertise in leveraging data for strategic insights and problem-solving.

Rajiv Gandhi Proudyogiki Vishwavidyalaya

BE, Computer Science

Completed a Bachelor of Engineering in Computer Science, acquiring foundational knowledge in computer programming, algorithms, and software development. Developed skills essential for building and maintaining robust software systems.