Hrushikesh Kachgunde profile photo 1 on Tal

Hrushikesh Kachgunde

SDE-2 @Flipkart | MLE @Collablens | Research Assistant | Flipkart Grid 5.0 Winner

Bengaluru

5+ years of work experience

Flipkart
Feb 20267 mosPresent

Working with Flipkart Food
Flipkart
Jul 20241 yr 8 mosFeb 2026

• Working with Recommendation Team for Hyperlocale (Flipkart Minutes)
Flipkart
Jan 20246 mosJun 2024

• RAG: Automated web scraping for competitors website using LLMs to get content & xpaths • Latency: Employed multiprocessing enhancements, optimized API calls, reducing retrieval time • LLM & Embedders: Worked on setting up in house LLMops pipeline for the production use cases • Retriever: Developed custom advanced retriever focusing on HTML semantic similarities & relations
Collablens
Feb 20239 mosOct 2023

Gurugram, Haryana, India

• Developed sophisticated computer vision and deep learning models tailored for logistics handling. • Deployed models to the web with real-time workflows on a dashboard for logistics managers • Built and reduced false positives in logistics throw violation tracking to 0.071% • Streamlined operations, improved delivery times, and reduced costs through these contributions.
Psytech Digi Pvt Ltd
Jul 20226 mosDec 2022

Pune District, Maharashtra, India

• Medical Image diagnosis: Software to detect brain tumor using Machine learning • Student Performance Analysis: Built a Software to analyze student performance using machine learning. • Stock Price Prediction: Software to visualize and make price prediction in real time for any stock.
Amazon
Jul 20221 moJul 2022

• Engaged in an integrated learning experience covering key machine learning topics, including supervised learning, deep neural networks, and dimensionality reduction. • Interacted with Amazon Scientists, gaining practical insights into the application of machine learning in industry settings. • Acquired skills in machine learning, deep learning, data science, and artificial neural networks, with a focus on topics such as probabilistic graphical models, sequential learning, causal inference, and reinforcement learning.
DeepLearning.AI
Apr 20211 yr 4 mosJul 2022

Palo Alto, California, United States

• Pytorch Module: Worked on improving the course material for this course. • Assignments: Resolved and checked the assignments, made them bug free. • Mentoring: Helped new learners in the forums to keep up with the courses.

Hrushikesh’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
codex
codex
cursor
cursor

Education

Dr. D.Y. Patil Institute of Engineering, Management and Research, Pune

Bachelor of Engineering - BE, Artificial Intelligence and Data Science

Dr. D.Y. Patil Institute of Engineering, Management and Research, Pune

20204 yrs2024
Zero To Mastery Academy

Machine Learning and Deep Learning

Zero To Mastery Academy

20211 yr2022

Join Hrushikesh and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Hrushikesh Kachgunde on Tal

Headline

SDE-2 @Flipkart | MLE @Collablens | Research Assistant | Flipkart Grid 5.0 Winner

About

Hi, I'm Hrushikesh Kachgunde, a self-taught programmer with a focus on Machine Learning and Deep Learning. I'm passionate about learning through hands-on projects and constantly challenging myself to improve my skills. Connect with me here: topmate.io/hrushikesh_kachgunde Currently, I'm working on developing Neural Networks for Deep Learning using Tensorflow and Pytorch, and I'm always looking for new ways to apply these concepts to real-world problems. In addition to my work, I love sharing my knowledge and experiences with others. I regularly write blog posts on my projects and the topics that interest me, and I also enjoy re-writing research papers in a way that's easy for beginners to understand. I'm always interested in collaborating with others and exploring new opportunities in the field of Machine Learning. Please feel free to connect with me and let's chat!

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

Work experience

SDE-2 at Flipkart, Feb 2026 - Present · 7 mos, Working with Flipkart Food

SDE-1 at Flipkart, Jul 2024 - Feb 2026 · 1 yr 8 mos, • Working with Recommendation Team for Hyperlocale (Flipkart Minutes)

SDE Intern at Flipkart, Jan 2024 - Jun 2024 · 6 mos, • RAG: Automated web scraping for competitors website using LLMs to get content & xpaths • Latency: Employed multiprocessing enhancements, optimized API calls, reducing retrieval time • LLM & Embedders: Worked on setting up in house LLMops pipeline for the production use cases • Retriever: Developed custom advanced retriever focusing on HTML semantic similarities & relations

Research Assistant at Collablens, Feb 2023 - Oct 2023 · 9 mos, Gurugram, Haryana, India, • Developed sophisticated computer vision and deep learning models tailored for logistics handling. • Deployed models to the web with real-time workflows on a dashboard for logistics managers • Built and reduced false positives in logistics throw violation tracking to 0.071% • Streamlined operations, improved delivery times, and reduced costs through these contributions.

Software Developer Intern at Psytech Digi Pvt Ltd, Jul 2022 - Dec 2022 · 6 mos, Pune District, Maharashtra, India, • Medical Image diagnosis: Software to detect brain tumor using Machine learning • Student Performance Analysis: Built a Software to analyze student performance using machine learning. • Stock Price Prediction: Software to visualize and make price prediction in real time for any stock.

Amazon MLSS'22 at Amazon, Jul 2022 - Jul 2022 · 1 mo, • Engaged in an integrated learning experience covering key machine learning topics, including supervised learning, deep neural networks, and dimensionality reduction. • Interacted with Amazon Scientists, gaining practical insights into the application of machine learning in industry settings. • Acquired skills in machine learning, deep learning, data science, and artificial neural networks, with a focus on topics such as probabilistic graphical models, sequential learning, causal inference, and reinforcement learning.

Alpha Tester at DeepLearning.AI, Apr 2021 - Jul 2022 · 1 yr 4 mos, Palo Alto, California, United States, • Pytorch Module: Worked on improving the course material for this course. • Assignments: Resolved and checked the assignments, made them bug free. • Mentoring: Helped new learners in the forums to keep up with the courses.

Education

Bachelor of Engineering - BE, Artificial Intelligence and Data Science, Dr. D.Y. Patil Institute of Engineering, Management and Research, Pune

Machine Learning and Deep Learning, Zero To Mastery Academy

Public links

github: https://github.com/Hrushi11