Ankit Kumar
I build things for the web
A passionate Software Engineer with expertise in backend development, AI, and ML, specializing in building scalable solutions and innovative models.
Hi, my name is
About Me
Hi, I’m Ankit Kumar, a Software Engineer specializing in backend development, machine learning, and AI.
I’ve built a multilingual RAG system using LangChain and FAISS and developed a Django web app integrating 10+ ML models. During my internship at ISRO, I optimized Lunar landing algorithms using Deep Reinforcement Learning. I’m experienced in cloud technologies,
API design, and DevOps, always eager to solve complex problems and build innovative solutions.
Here are a few technologies I've been working with recently:
- Machine Learning
- Reinforcement Learning
- Data Science
- Python
- Devops
- Mlops
Experience
I Enhanced Lunar landing algorithms at ISRO using Deep Reinforcement Learning and custom Q-learning models.
- Improved Lunar landing algorithm using Reinforcement learning and Custom State of the art Algorithms.
- Worked on Range operations involving software development and machine learning tasks.
- Developed back-end solutions for Lunar landing using custom Deep Q learning Algorithm.
I developed and maintained backend services at Ecowiser using Django, integrated NLP for search, and automated deployments with CI/CD and AWS Lambda.
- Improved product search functionality by Integrating NLP in postgreSQL search.
- Implemented Automated Mail letters for Customer review and feedback.
- Managed infrastructure as code using tools like Nginx, Docker, Kubernetes etc. to ensure scalability and reliability.
I implemented and optimized machine learning models at Velozity using PyTorch and TensorFlow, focusing on NLP, image classification, and time series forecasting.
Implemented machine learning algorithms and models using PyTorch, TensorFlow, and other frameworks to analyze and solve real-world problems. .
Contributed to the development and optimization of neural network architectures for tasks such as image classification, natural language processing, and time series forecasting
Education
2020 - 2024
Bachelor of Technology(Computer Science and Engineering-Data Science(ML and AI))
Lovely Professional University,Jalandhar
GPA:
7.38 out of 10
I Developed expertise in machine learning, deep learning, and AI through hands-on projects and coursework.
- Built and deployed ML models using Python, TensorFlow, and PyTorch for various real-world applications.
- Gained practical knowledge of data analysis, NLP, and reinforcement learning through academic and personal projects.
2019 - 2020
High School
Crescent Public School
GPA:
8.0 out of 10
Completed Senior Secondary education with a focus on Science (Physics, Chemistry, and Mathematics),
scoring highest in Hindustani Music Vocal (92), along with excellence in Work Experience, Health & Physical Education, and General Studies.
Projects
Django
Deep Learning
NLP
ML
Python
Modelsmith
Modelsmith, a Django web app integrating 10+ ML models, from linear regression to ResNets and GANs, with detailed documentation for easy user understanding.
LLM
Generative AI
FAISS
Langchain
Python
Multilingual RAG System
Built a multilingual RAG system for PDF documents and books using LangChain and FAISS, enabling fast, context-aware responses across languages.
Godot
Game development
AquaQuest
Aqua's Quest is a fun educational platformer for kids (5–6 yrs) that teaches the water cycle and groundwater conservation through four interactive levels. Each stage includes simple tooltips, mini-quizzes, and concept scenes to reinforce learning through play.
Achievements
Hacktoberfest 2020 Contributer
Contributed to biggest open source festivel and completed all goals.
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi :)