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manumishra12/README.md

Hi Waving hand animated gif, I'm Manu Mishra

manumishra12

About Me

๐Ÿ”ญ Undergraduate Senior in Computer Science and Engineering at Vellore Institute of Technology, Chennai.


๐ŸŒฑ Technology:
I am passionate about building scalable and impactful solutions in Software Development, AI/ML, and Cloud Computing. My focus includes:

  • AI & Machine Learning: Developing and deploying models with LLMs, VLMs, and NPUs for various applications.
  • Software and System Design: Passionate about SDE, Full-stack development, system designs and robust system architectures.
  • Cloud Computing & DevOps: Building application with cloud platforms with a focus on DevOps & MLOps for ML deployment.

๐Ÿ’ก Business & Entrepreneurship:
I have a keen interest in startup development and growing tech businesses. I am passionate about:

  • Building Startups: Crafting innovative business models, finding product-market fit, and scaling tech ventures.
  • Leadership & Mentorship: Thriving in collaborative environments, including hackathons and mentoring in tech and entrepreneurship.

๐Ÿ“Š Finance:
With a growing interest in the financial markets, Iโ€™m diving into quantitative finance, economics, and trading:

  • Quantitative Finance: Exploring algorithmic trading and developing quantitative models to predict market movements.
  • Investment Strategies: Understanding global economic theories & financial principles to make informed investment decisions.
  • FinTech: Exploring the intersection of finance and technology, including areas like blockchain, digital currencies, etc.

๐ŸŽฏ I enjoy working on projects that combine my skills in tech, business, and finance to solve complex problems.

๐Ÿš€ As an aspiring entrepreneur, I aim to leverage my technical and business expertise to build impactful startups.

๐ŸŽต In my free time, I love music and photography, drawing inspiration from both creativity and technology. ๐ŸŽถ





๐Ÿ† Experience

Junior Researcher Indian Institute of Technology (BHU), Varanasi | June 2024 - July 2024 | On-site
Developed a cuffless blood pressure estimation system using ECG and PPG signals, achieving high accuracy in systolic and diastolic predictions.

Software Developer Engineer Intern Growth Ventures, Bengaluru | February 2024 - May 2024 | Remote
Implemented new features, improved software functionality, and increased user satisfaction by 25% through rigorous testing.

Machine Learning Intern Growth Ventures, India | December 2023 - February 2024 | Remote
Assisted in developing, optimizing, and evaluating machine learning models, and collaborated on designing new ML algorithms.

Full Stack Developer Startuply, India | August 2023 - Present | Remote
Developed interactive applications, integrated APIs, and managed frontend and backend frameworks using ReactJS, Node.js, MongoDB, and Express.js.

UI/UX Developer Intern RedeFin Capital, Hyderabad | May 2023 - September 2023 | Remote
Designed wireframes and prototypes using Figma and Adobe XD, and collaborated with the product team to define user flows.

UI/UX Designer Nirji Ventures, Singapore | February 2023 - June 2023 | Remote
Collaborated on gathering requirements, developed wireframes, prototypes, and high-fidelity designs using Adobe XD and Figma.

Product Designer Youngify, Bengaluru, India | September 2021 - November 2021 | On-site
Created UI/UX Designs, wireframes, and prototypes for product conceptualization and collaborated on user flows and design documentation.


๐Ÿ› ๏ธ Technical Skills

Programming Languages: Python, Java, C++, SQL, JavaScript
Frontend Development: ReactJS, NextJS, HTML, CSS, Figma, Adobe XD
Backend Development: Node.js, Express.js, Flask, Django
Machine Learning Frameworks: PyTorch, TensorFlow, Keras
Cloud/IoT Technologies: Google Cloud, AWS, Raspberry Pi
Databases: MongoDB, MySQL
UI/UX Design Tools: Figma, Adobe XD
Specialized Skills: Machine Learning, Deep Learning, Internet of Things


Python JavaScript ReactJS Node.js TensorFlow PyTorch Google Cloud Figma Flask Django SQL MongoDB Git GitHub Scikit-Learn Keras Agile CI/CD Microservices REST APIs Load Balancing Scalability Distributed Systems Neural Networks Keras


๐Ÿ“œ Certifications

  • Machine Learning Pipelines with Azure ML Studio - Coursera
  • Google Cloud Digital Leader Training - Coursera
  • Professional Cloud Security Engineer - Coursera
  • AWS Academy Cloud Foundations - Coursera
  • Create a No-code Responsive Website with Webflow - Coursera

๐ŸŽ–๏ธ Achievements

  • Patent: Got my project patent A System and Method for Automated Waste Segregation (Application no: 202441064693)
  • Smart India Hackathon 2023: Led a team to secure 15th place out of 100+ teams, earning a spot as a grand finalist.
  • Smart India Hackathon 2022: Secured second position for developing a smart bin and a mobile application called "Money Plant" for smart waste segregation and recycling.
  • IoT Hackathon: Won the first prize for developing an automated and smart solution for waste management.
  • Hackhub 2022: Received the Rookie Team Award for developing a Smart Attendance System for colleges, supporting both online and offline modes.
  • Smart India Hackathon 2019: Awarded the first prize for developing innovative solutions for pollution and garbage management.


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  1. Cuffless-BP-Estimation- Cuffless-BP-Estimation- Public

    Developed a cuffless blood pressure estimation system using ECG and PPG signals, achieving high accuracy in predicting systolic and diastolic blood pressure. Leveraged advanced signal processing anโ€ฆ

  2. NoteDown NoteDown Public

    Note-Taking Application built for desktop using Electron.js. The application allows users to easily create, edit, and organize their notes in a simple and intuitive interface. It is designed to be โ€ฆ

  3. RenewX RenewX Public

    RenewX is an AI-based machine that automatically segregates mixed construction waste and sells it to industries for recycling purposes. This project aims to contribute to waste management and promoโ€ฆ

    HTML 1

  4. TumorTrace TumorTrace Public

    The TumorTrace project aims to develop an automated system for identifying and segmenting tumor regions in brain MRI images. Accurate segmentation is crucial for diagnosis, treatment planning, and โ€ฆ

    Jupyter Notebook

  5. Noising-Denoising Noising-Denoising Public

    A Convolutional Denoising Autoencoder built with PyTorch to remove noise from images. The model uses convolutional layers for encoding and transposed convolutions for decoding, effectively reconstโ€ฆ

    Jupyter Notebook

  6. StockSense StockSense Public

    An application that uses stock price data and technical indicators for improved predictions, with serial and parallel backtesting to optimize trading strategies and enhance decision-making.

    Python