Venkata Naga Janardhan Konasani | Software Developer

Hi, I'm Venkata Naga Janardhan Konasani

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a Computer Science Grad Student at University of Maryland Baltimore County. I am passionate about learning and applying new technologies and skills to create innovative solutions. I have completed multiple certifications from AWS and Infosys Springboard in cloud computing and machine learning, demonstrating my proficiency and interest in these domains. I have also gained hands-on experience as a full stack developer intern at SDOTJ Hospitality, a start-up that provides online booking and management services for hotels and resorts. There, I worked with React.js, SQL, HTML, and CSS to develop and improve the front-end and back-end features of the web application, such as user authentication, search functionality, and payment integration. Additionally, I worked as a python developer intern at CodeClause, Additionaly I used different machine learning techniques to recognize human activities from video data and published a paper on this topic in an international journal. Through these internships, I have developed my web and cloud development skills, as well as my teamwork, communication, and problem-solving abilities.

Programming: Python, Java, Javascript, C/C++
Web Technologies: HTML, CSS, Java-script, RESTful API's
Databases: MySQL, MongoDB
Soft Skills: Team Player, Bias for action, Deliver results

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Full Stack developer intern

Designed user-friendly interfaces with HTML, CSS, and JavaScript frameworks.
Orchestrated a comprehensive data indexing strategy across MySQL databases, optimizing query performance by 50% and reducing data retrieval time by 30%.
Performed exploratory data visualizations and modelling with both SQL and NoSQL databases, facilitating deeper insights into large datasets.
Tools: Python, Flask, HTML, CSS, JS

April 2023 - June 2023 | Kolkata, India

Python developer intern

Developed a user-friendly calculator application, showcasing strong problem-solving and attention to detail.
Designed and implemented a music player, demonstrating proficiency in Python libraries and frameworks.

Tools:

May 2023 - June 2023

Projects

                
Plant leaf disease detection
                  A Plant leaf disease detection website using machine learning techniques
                
AccomplishmentsTools: Python, Html, CSS, Machine Learning Algorithms
Implemented a deep learning framework for plant disease detection using transfer learning with VGG-16 and ResNet34 models in PyTorch, achieving a 90.24% accuracy on a diverse dataset of 14 plant species and 38 disease categories.

Product recommendation system
                  A Product recommendation website based on python
                
AccomplishmentsTools: Python, Flask, Html, CSS, JavaScript, Machine Learning Algorithms
Implemented collaborative and content-based filtering strategies, resulting in highly personalized product
                    suggestions based on user’s interest and purchase history.

Youtube Ad view prediction
                  A simple prediction of youtube Ad's revenue based on Machine Learning.
                
AccomplishmentsTools: Machine learning, Python
Youtube advertisers pay content creators based on adviews and clicks for the goods and services being marketed. The problem statement is therefore to train various regression models and choose the best one to predict the number of adviews.

Job based openings website
                  A basic website which filters job's based on the job role and location
                
AccomplishmentsTools: Html, CSS, JavaScript, Json
Created an intuitive user interface with search filters and dynamic job listing display. Utilized JSON for storing and
                    retrieving job data which is stored in the Json file.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.