+91-799*******

adokgt@r.postjobfree.com

https://www.linkedin.com/in/jagannadan-

manasa-aa11b0179/

https://github.com/Manasajagannadan?

tab=repositories

https://manasajagannadan.wixsite.com/manasa-

jagannadan

Career Objective

The objective is to obtain a job opportunity in a competitive environment, where I can use my knowledge, allow use of my education, skills, and past experiences to fulfil my dreams in my desired field. Technical Skills

Python C Java SQL Dot Net ASP.Net C# C++ HTML CSS Linux Windows Tensorflow Keras OpenCV Flask Arduino DSA

PROFESSIONAL EXPERIENCE

Software Developer Jul '21 - Present

INFOLOG SOLUTIONS Pvt Ltd

Working on .Net, ASP.Net and SQL client based projects Programming Language: ASP.Net, C# and SQL

Technology: Software Development

Deep Learning Engineer Feb '20 - Mar '20

Codegnan It Solutions

Worked on face Recognition for Attendance System project Product: An online attendance system that recognizes the person's faces and send the attendance copy to HR through mail Programming Language: Python

Technology: Deep Learning & Computer Vision

Deep Learning Internship Jan '20 - Feb '20

Codegnan It Solutions

Working automatic Facial and Hand gesture based Media Player using OpenCV and Deep Learning Applications Product: Intelligent Video Engine

To control the media player using Face detection with JS: We worked on face detection with a haar cascade file named

“haar_cascade_frontface.xml”. This project tells that when the face is present in the server then only the video will play on the server. If the face is not on the screen the video automatically pauses. To control the media player with Hand detection using OpenCV: For the Hand detection, we created a haar cascade with the help of positive and negative images and train those images to recognize the Hand. Using the haar cascade file when the first is detected it needs to give the binary value as “1” and no hand detected it needs to give the value as “0”. Research Internship Dec '19 - Feb '20

Mahindra Ecole Centrale

Published two Research papers on Jaipur Conference and IntelliSys Bengaluru

Vijayawada

Online

Hyderabad

JAGANNADAN MANASA

Actively looking for a Job

Working with C#, SQL programming languages at Visual studio, server management studio using Dot Net & ASP.Net Created the Face Recognition model using VGG16 from scratch using the Python framework Worked on the development of an official attendance formality to handle 100 officers per day Learn OpenCV, VGG16 model, Facenet model, NumPy, matplotlib, pandas, sys, sklearn, Tensorflow, Keras, OS, Pyautogui Gain knowledge on deep learning and convolutional neural networks using Tensorflow, Keras, and OpenCV Originated a software testing automation framework using Python, Javascript, OpenCV Gain knowledge on NLP basics, Bert Model

Implemented the student and server communication using Bert model, Python Research Papers: 1. 1-D/2-D/3-D Hopfield Associative Memories 2. Deep Neural Networks: Incremental Learning Programming Language: Python, OpenCV

Technology: Deep Learning & Computer Vision

1-D/2-D/3-D Hopfield Associative Memories:

Deep Neural Networks: Incremental Learning:

EDUCATION

IIIT, R.K VALLEY, RGUKT AP May '17 - Aug '21

B.Tech, ECE

Robotics Club Member RGUKT, R.K VALLEY

Key SKILLS

CERTIFICATIONS

Projects

WORKSHOPS

Attended many workshops and gain knowledge on

ADDITIONAL INFORMATION

Personal Strengths

Idupulapaya

worked in the areas of Hopfield Associative Memories and Deep Learning architectures such as Convolutional Neural Networks, Autoencoders.

Using python programming the image reproduction will be proved mathematically and practically. Based on the idea of extracting features incrementally using AutoEncoders, CNNs, Deep Learning architectures are proposed. We worked on both MNIST and CIFAR 10 Datasets

we worked on 7 architectures and train them using the datasets given as input. Check the accuracy and compare it with the results.

Honor in Deep Learning, Computer Vision, Flask, SQL Windows(OS), Linux(OS), MS Word, MS Excel and MS Powerpoint Attended International Conference on ML and DS by Mahindra Ecole Centrale, Hyderabad Certified Convolutional Neural Networks in TensorFlow, Introduction to TensorFlow for AI, ML, and DL, Neural Networks and Deep Learning, Convolutional Neural Networks by Coursera Hackerrank programmer with 218 rank (Present)

Certified Machine Learning training, by architecticastartups Unstructured Invoice data Text Extraction: Worked with NLP models called Spacy Name entity recognition, EasyOCR for text extraction and implemented region extraction. After the particular data will be saved at the excel file. Face recognition Web App: Worked with flask framework to implement face recognition project on the web in both real-time and user-defined application successfully

Covid-19 Face Mask Segmentation: In this project Impilemnted face mask segmentation with a medical dataset from Kaggle using detectron2, Pytorch framework

Self-Alignment Robot: This Project deals with Image Processing, Kinematics, Object Detection, and path planning. The project is to align the objects automatically for their respective positions where it is by giving a Predefined Image by the user Health Monitoring System: This project is to ask the symptoms that you have in the form of speech and convert it into text and ask the questions based on the symptoms and at last objective is to declare disease what the patient has 6-DOF Robotic Arm: Developed a 6 DOF robotic arm. Working on Hardware components as Arduino, Servomotors & Gain Knowledge on Python & Arduino Programming

Python, Deep Learning, Cybersecurity, machine learning Languages: English, Hindi, Telugu, Tamil

Ability to lead a team and a Quick Learner

Tends to work on Projects to fulfill my Dreams on Deep learning and machine learning

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