👋 Hi, I'm

About Me 👨‍💻

AI Engineer by profession, an avid reader by heart. I have a MAJOR interest in Deep Learning. I'm looking for exceptional projects that can make me go beyond the basics. I practice coding on leetcode and I absolutely love to talk about AI and ML, so if you want to talk about it, feel free to contact me!

Apart from that, I love to watch anime, movies and different sereis (specially sitcoms :P). Oh, and I also love to draw and read manga!

Experience ✨

AI / ML Engineer @ Antematter.
June 2024 — Present

My responsibilities include integrating LLMs into various applications, enhancing functionality and performance. I have created robust RAG pipelines and a code reviewer LLM. Resolved complex LLM tool calling issues, ensuring smooth operations and efficient workflows.

Data Scientist @ Spatial Labs.
Feburary 2023 — June 2024

I developed a hybrid approach combining Learned Noise Prediction and Fourier Transform, achieving 89% accuracy in differentiating real and fake satellite images. I enhanced YOLOv8's performance for car tracking, boosting mAP from 67 to 95. I compared Mistral and GPT-4 responses using PairRM in LLM Blender and deployed the Whisper model offline for audio transcription. I also created Blender scripts to generate synthetic automotive data, contributed tutorials on spatial analysis and spatiotemporal modeling for a Big Geo Data course, and analyzed GPS datasets to support stakeholder meetings.

Data Science Intern @ Spatial Labs.
September 2022 — Feburary 2023

I fine-tuned a UNET model for land cover mapping, achieving a 0.92 IoU, and deployed it on Hugging Face Spaces. I also fine-tuned a YOLOv5 model to detect and quantify forest tree damage, converting Pascal VOC annotations to Darknet format. Using this method, I participated in a ship detection competition, achieving an mAP score of 0.82 on the private leaderboard and 0.86 on the public leaderboard.

Answers Intern @ Educative Inc.
June 2022 — August 2022

Worked on the vertical of AI and wrote high quality, to-the-point articles with practical implementations. The topics of these articles were related to Deep Learning, Computer Vision, Natural Language Processing and Linear Algebra. Also, I was responsible for reviewing and editing the articles written by other interns. Visit my profile. ^_^

Education 👨‍🎓

My Work 📚

Most of the work I performed was for the semester projects with my team members. I have also worked on some personal projects. I have listed some of my work below. For more details, you can check out my GitHub profile.

Autograde for CS

An automation tool for checking programming assignments

Check it out
Mango-ly

Mango disease classifier

Check it out
Graphex

A handwritten expression plotter

Check it out