Neha Tendulkar
@nehatendulkar
Backend developer focused on AI-powered systems, scalable APIs, and reliable testing automation.
IndiaWhat I'm looking for
I build backend services and AI-enabled features that are practical to ship and easy to debug. As a computer engineering student, I’ve focused my experience on reliable automation, scalable APIs, and GenAI layers that add measurable value.
In my BrowserStack SDET internship, I raised test coverage from 75% to 80% by building automation scripts in WebdriverIO (WDIO) for an LCNC AI-powered low-code automation tool. I also shipped a failure-analysis video replay POC using AWS and WDIO to improve debugging turnaround, and created a multi-agent system to help make the product WCAG compliant.
In my Backend & AI Developer internship, I built scalable FastAPI + LangChain backend services for a food scanner application, integrating GenAI for personalized dietary recommendations and allergen risk analysis per scan. I implemented RabbitMQ task queues with asynchronous processing to handle API failures and edge cases, and I bring the same end-to-end mindset into projects like a RAG chatbot (Gemini 1.5 Pro) and an automated Reddit pipeline with Airflow, S3, Glue, and Athena.
Experience
Work history, roles, and key accomplishments
Raised test coverage from 75% to 80% by building automation scripts for an LCNC AI-powered low-code automation tool using WebdriverIO (WDIO). Built CI automation with Jenkins to streamline desktop app build and deployment workflows and shipped an AWS + WDIO POC to improve QA failure debugging turnaround time.
Backend & AI Intern
Senkusha Solutions LLP
Jun 2025 - Aug 2025 (2 months)
Built scalable FastAPI + LangChain backend services for a food scanner app, adding GenAI-driven personalized dietary recommendations and allergen risk analysis per scan. Implemented RabbitMQ task queues and asynchronous processing to handle API failures and edge cases, improving system stability under fault conditions.
Software Development Intern
Symphony Fintech
Jun 2024 - Jul 2024 (1 month)
Developed and optimized Python data pipelines that generate real-time local reports based on frontend triggers, reducing latency and improving UI responsiveness. Built automated email-based broker notifications and a dynamic log management system to replace manual log archiving with secure automated archiving.
Education
Degrees, certifications, and relevant coursework
Dwarkadas J Sanghvi College of Engineering
Bachelor of Technology (B.Tech), Computer Engineering
2022 -
Grade: CGPA: 9.44/10
Pursuing a B.Tech in Computer Engineering. Currently maintaining a CGPA of 9.44/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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