Manu Hegde
MSCS @ UW | Ex-SDE3 @ Tekion | Ex-Product Engineer @ Udaan
About
Manu Hegde is a results-driven Software Engineer with over 4 years of experience in building cutting-edge products and applications. He is currently working as a Product Engineer at Udaan, where he is focused on building the Internal Data Platform for the company. Manu is a skilled professional with expertise in various technologies, including Javascript, Spark, Azure, ReactJS, Deep Learning, GAN, Python, Tensorflow, Kotlin, Pytorch, Hadoop, and more. Before joining Udaan, Manu worked as a Deep Learning Intern at Tika Data, where he built tools to extract frames at regular intervals, containing one or more objects specified (YoloV2, Detectron), and generated new faces based on a given set of faces using Style GAN. He has also worked as a Front End Developer at Shramajeevi, where he built agdial.in, a serverless, responsive web app in ReactJS with Firebase backend, and redesigned shramajeevi.com into a react web app. Manu holds a Bachelor of Engineering degree in Computer Science & Engineering from Dr. Ambedkar Institute of Technology. He is a skilled product designer and has experience in frontend and backend development, ETL, Jupyter, UI, web, CI/CD, testing, integration, and infrastructure. With his extensive experience and expertise in software engineering, Manu is an asset to any organization. He is a quick learner, a team player, and always eager to take on new challenges. Manu is passionate about technology and is constantly exploring new tools and frameworks to stay ahead of the curve.
Education
• university of washington
• dr. ambedkar institute of technology
Companies
• university of washington bothell
• tekion
• udaan
• tika data
• shramajeevi
• radiant data systems
Experience
3.8 Years
Experience
Skills
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Amazon Web Services (AWS)
apache
Apache Kakfa
Apache Spark
Application Programming Interfaces (API)
AWS Lambda
Azure
Azure Data Lake
Azure Eventhub
Backend
Bash
Budgeting
c++
cascading style sheets
Cascading Style Sheets (CSS)
Catboost
CI/CD
Collaboration
Convolutional Neural Networks (CNN)
Data Analysis
Data Structures
Databricks
Databricks Delta
Databricks delta
Deep Learning
Demand Forecasting
Docker
Dropwizard
Education
Embedded C
Extract, Transform, Load (ETL)
Firebase
firmware
forecasting
Frontend
Git
GitHub
Gradient Boosting
GRU
Hadoop
HTML
html
infra
Infrastructure
Java
JavaScript
Javascript
Kernel
Kotlin
Kubernetes
Linux
linux
Long Short-term Memory (LSTM)
Machine Learning
Machine Learning (ML)
Microservices
Microsoft Azure
MLLib
Mobile
Natural Language Processing (NLP)
Neural Networks
NLTK
NoSQL
NumPy
OpenCV
Pandas
Product Development
Programming
PySpark
pyspark
Python
Python (Programming Language)
PyTorch
Pytorch
ReactJs
Recurrent Neural Networks (RNN)
Redis
Research
Research Scientist
scalability
Scikit
Scikit-Learn
SciPy
sckikit-learn
Software Engineer
spaCy
Spark
SQL
sql server
TensorFlow
Tensorflow
test
Test Driven Development
TypeScript
Typescript
ui
Web
x86 assembly
XGBoost
Contact Details
Email (Verified)
manXXXXXXXXXXXXXXXomMobile Number
963XXXXX62Education
university of washington
Master of Science - MS
2023 - 2025
dr. ambedkar institute of technology
Bachelor of Engineering - BE
2015 - 2019
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