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👋

Hi, I'm Himanshu. A Backend Engineer skilled in FastAPI with a passion for ML and RAG Pipelines. I love blending AI with web development to create smarter digital experiences.

About me

I am currently pursuing a degree in Computer Science Engineering at BMS Institute of Technology and Management. With a current CGPA of 9.21, I have developed a strong foundation in C/C++, Data Structures, Algorithms, and full-stack development. I recently completed my Backend Engineer Internship at Samey AI, where I worked with technologies like NATS, Redis, Python, FastAPI, and Azure Artifacts. I'm now starting a new Backend Engineer Internship at HappyFox, while continuing to build projects with React, Next.js, and Machine Learning. My favorite part of programming is building solutions that positively impact users, like interactive tools and accessible platforms.

During my time at Samey AI, I collaborated on designing workflow orchestrators and optimized internal Python package repositories across microservices, reducing deployment time by 15%. I love exploring new technologies, learning about machine learning and deep learning, and enhancing my skills in backend development and AI integration. Additionally, I enjoy reading books and watching movies.

My Projects

Holistic Meeting Insights: From Slides to Speech

Developed an application using Next.js, FastAPI, and PostgreSQL, with a RAG pipeline for multimodal analysis. Used Whisper for transcription and a Vision-Language Model for interpreting slides; enabled LLM-based querying with more than 95% data retention.

  • Next.js
  • FastAPI
  • PostgreSQL
  • RAG
  • Whisper
  • Vision-Language Model
  • LLM

Interactive Book Reader with RAG

Created an interactive reader with React, Tailwind CSS, and FastAPI for contextual Q&A via graph-based RAG pipeline; improved user immersion by 60%. Enhanced comprehension using dynamic summarization with Graph-RAG.

  • React
  • Tailwind CSS
  • FastAPI
  • Graph-RAG
  • NLP

Anveshana Website

Made and deployed a website for Anveshana, the national level prototype competition, getting more than 1000 hits per month, 500+ registrations and 100+ projects.

  • Next.js
  • Framer Motion
  • TypeScript
  • Tailwind CSS
  • Vercel

Explore Ease

Designed and deployed a full-stack travel-planning web app using Node.js, Express.js, and React, with an LLM chatbot suggesting points of interest. Dijkstra's Algorithm for optimal routing and Leaflet for interactive mapping; cut travel planning time by 50%.

  • Node.js
  • Express.js
  • React
  • LLM
  • Dijkstra's Algorithm
  • Leaflet

D4 - Data Driven Diabetes Decipher

Implemented a KNN algorithm in C++ for diabetes prediction, achieving up to 10-50x faster execution compared to Python for large datasets.

  • C++
  • KNN Algorithm
  • Health Data
  • Machine Learning

My skills

  • React
  • Next.js
  • JavaScript
  • TypeScript
  • Tailwind CSS
  • HTML
  • CSS
  • Python
  • FastAPI
  • Node.js
  • Express.js
  • NATS
  • Redis
  • PostgreSQL
  • MongoDB
  • ChromaDB
  • AstraDB
  • Cassandra
  • Machine Learning
  • Deep Learning
  • Hugging Face
  • LLM
  • RAG
  • Agents
  • CrewAI
  • Knowledge Graph
  • AWS
  • Azure
  • Google Cloud
  • Vercel
  • GitHub Actions
  • Git
  • Docker
  • Postman
  • Framer Motion

My Certifications

Deep Learning Specialization by Stanford University
Machine Learning Specialization
Python 3 Programming Specialization
Volunteered to Create Database of Water Bodies
Donated a Website to a Government School
Backend Engineer Internship at Samey AI
NPTEL - Business Fundamentals of Entrepreneurs
NPTEL - Introduction to Large Language Models

Deep Learning Specialization by Stanford University

Sept 2024

Stanford University and DeepLearning.AI on Coursera, covering neural networks, deep architectures, and AI applications in various domains. 

Education & Experiences

Contact me

Please contact me directly at lodhahimanshu2002@gmail.com or through this form.