
Nishtha Pardesi
@nishthapardesi
AI/GenAI engineer building AWS RAG pipelines and LLM-powered applications.
What I'm looking for
At KH Infinite Possibilities, I developed and tested REST APIs for an email template management platform using Node.js, Express.js, and PostgreSQL. I also built modular React components, including an email template editor, and implemented email workflows with Google SMTP and OAuth token authentication.
I built an AWS RAG Pipeline that ingests documents through Amazon S3 and processes them with AWS Lambda. It stores embeddings in PostgreSQL with pgvector and uses Amazon Bedrock with Claude 3.5 to generate responses grounded in retrieved context.
For CampusWallet, I built a personal finance platform using React, FastAPI, and PostgreSQL. I implemented expense categorization and anomaly detection, integrated a Groq-powered LLM assistant for spending insights, and deployed the app using Vercel and Render.
I also built a queue analytics project that uses YOLOv8 and OpenCV to monitor queues in CCTV footage and XGBoost to predict wait times. I’m studying Artificial Intelligence & Data Science at P.E.S.’s Modern College of Engineering and am seeking an AI/GenAI engineering internship.
Experience
Work history, roles, and key accomplishments
Software Development Intern
KH Infinite Possibilities
Jan 2026 - Mar 2026 (2 months)
Developed and tested REST APIs using Node.js, Express.js, and PostgreSQL for an email template management platform. Built modular React components and implemented email workflows using Google SMTP and OAuth token authentication.
Education
Degrees, certifications, and relevant coursework
P.E.S.’s Modern College of Engineering
Bachelor of Engineering, Artificial Intelligence & Data Science
2023 -
Grade: 9.15/10
Pursuing a Bachelor of Engineering in Artificial Intelligence & Data Science with a CGPA of 9.15/10.
Availability
Location
Authorized to work in
Salary expectations
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