Hrushikesh Kachgunde

Lead ML Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Deep Learning.
Proven track record in developing real-time models.
Strong communicator and mentor in tech communities.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Deep Learning and Computer Vision in the Logistics and Healthcare sectors.

Contact

Skills

Core Skills

Machine LearningDeep LearningComputer VisionData Science

Other Skills

LLMAutomated web scrapingMultiprocessing enhancementsAPI optimizationLLMops pipelineCustom advanced retrieverObject DetectionObject SegmentationDatabase DesignImage EncodingMLOpsAPI DevelopmentFlaskArtificial Neural NetworksDeep Neural Networks (DNN)

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!

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Flipkart

3 roles

SDE-2

Promoted

Feb 2026 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

Working with Flipkart Food

SDE-1

Jul 2024 – Feb 2026 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

• Working with Recommendation Team for Hyperlocale (Flipkart Minutes)

SDE Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

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

LLMAutomated web scrapingMultiprocessing enhancementsAPI optimizationLLMops pipelineCustom advanced retriever+2

Collablens

Research Assistant

Feb 2023 – Oct 2023 · 8 mos · Gurugram, Haryana, India · Remote

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.

Deep LearningMachine LearningComputer VisionObject DetectionObject SegmentationDatabase Design+2

Psytech digi pvt ltd

Software Developer Intern

Jul 2022 – Dec 2022 · 5 mos · Pune, 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.

Deep LearningMachine LearningComputer VisionData ScienceAPI DevelopmentFlask

Amazon

Amazon MLSS'22

Jul 2022 – Jul 2022 · 0 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.

Deep LearningMachine LearningArtificial Neural NetworksData ScienceDeep Neural Networks (DNN)

Linksdg

Data Science Intern

Aug 2021 – Feb 2022 · 6 mos · London, England, United Kingdom

Data Analysis: Data visualization and automating tasks to speed up data cleaning and making decisions
Data Insights: Finding data insights for customers and finding patterns on requirements, visualizing the
trend curves
Forecasting: Implemented a forecasting model for trend analysis, take pre-measures to handle the
future situations

Machine LearningData ScienceData AnalysisForecastingCommunication