11 Priesing St, Apt 1
Boston, MA-02130
+1 (857)-390-4161
Email:kodipunjula.v@northeastern.edu
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Venkata LeelaKrishna

Software Developer

  • BORN : September 20, 1997
  • EMAIL : kodipunjula.v@northeastern.edu

About me

Goal

Hey, Thank you for trying to know more about me. I'm LeelaKrishna, a Master's student at Northeastern University with major on Computer Science. Previously, I worked as a Machine Learning Engineer at Jocata Financial Advisory & Technology, where my role spanned the entire spectrum of Machine Learning project execution. This included developing pipelines for data ingestion and deploying cutting-edge models on AWS, utilizing technologies such as Docker, REST APIs, Django, and Airflow. My passion lies in blending advanced machine learning and classical algorithms to develop innovative solutions that can transform industries and positively impact society.


My skill set includes Python, Java, C++, C, Python, JavaScript, React, Node.js, CSS, HTML, Django, Flask, SQL, MySQL, MongoDB, Spark, MapReduce, Data Engineering, Machine Learning, NLP, Computer Vision, LLMs, Generative AI. In addition to my technical expertise, I have a passion for playing soccer and Table Tennis. I believe that engaging in such recreational activities can foster creativity in one's professional life. Furthermore, I have been actively involved in a variety of events at the college level.



Algorithms
Machine Learning
Data Engineering
Software Development

Projects

Early Prediction of Sepsis

Machine Learning
September 2023 - December 2023

Technologies used: Python, Docker, Airflow, Data Version Control (DVC), Random Forest Classifier, AWS EC2
Skills: Data Preprocessing, Feature Engineering, Model Training and Evaluation, MLOps Implementation
Description: Develop a machine learning model to predict sepsis in clinical settings accurately and early using the 2019 PhysioNet Challenge dataset

  • Led the development of an advanced machine learning model for the early prediction of sepsis, leveraging clinical data from over 40,000 patients, achieving early detection with high accuracy.
  • Implemented a robust MLOps framework to streamline the deployment, monitoring, and management of machine learning models in a clinical setting.

Caption Craft, Social Media Platform

Web Application | Stable Diffusion | GEN AI | LLMs
September 2023 - December 2023

Technologies used: JavaScript, React.js, Express.js, Redux, Node.js, MongoDB, Mongoose
Skills: Redux State Management, Version Control, Material UI, React Hooks, Node Session management, Deployment
Description: Provide a digital space where users can express themselves through art and by generating images with prompts.

  • Engineered a social media platform, Caption Craft, utilizing MERN stack for creative expression through art and captions.
  • Integrated external APIs for the retrieval of image data based on user prompts, facilitating the assessment of the model's performance and enhancing user experience.
  • Implemented a Like and Dislike feature, enabling users to interact with posts in their feed, fostering a dynamic and engaging community atmosphere.

Image Processing Application

Java Application | GUI | Command-line
January 2023 - April 2023

Technologies used: Java, Git, JSwing, IntelliJ, JUnit
Skills: Model View Controller Design Pattern(MVC), Unit Testing, GUI development
Description: Crafted a Java-based image editing tool with an intuitive GUI, allowing users to load, modify, and save images through both graphical and text-based inputs.

  • Attained 98% code coverage with JUnit tests, reflecting the thoroughness of the testing process and the application's reliability.
  • Successfully designed and implemented a Graphical User Interface that provides an intuitive and seamless experience for users.
  • Achieved an impressive average image loading time of 0.5 seconds, showcasing the application's performance efficiency.

FaceMap

Machine Learning | Computer Vision
March 2022 - November 2022

Technologies used: Apache AirFlows, Pytorch, Django, Docker, Object Detection, Nearest Neighbours using Tree, AWS EC2
Skills: Data Augmentation, Image Preprocessing, Transfer Learning, Performance Tuning, Deployment
Description: Created to enhance security in banking systems by verifying the uniqueness of client images during account creation, ensuring that each onboarding individual's photo is distinct within the bank's database.

  • Engineered a CI pipeline that significantly improved the efficiency of image preprocessing.
  • The tree-based algorithm for identifying nearest neighbors optimized the search for potential duplicate accounts, reducing search times by 70% percent.

GSTDNA

Data Science | Statistics | Risk Assessment
October 2021 - January 2022

Technologies used: Python, Pandas, SQL, Statistics, MS Excel, Regression Analysis
Skills: Credit Scoring, Multi-Threading, Sales Forecasting, Trend-analysis, Data-Driven Strategy Development, Risk Assessment
Description: Evaluate the creditworthiness of bank customers by analyzing their historical tax filing data

  • Implemented data-driven strategies and continuous monitoring using historical tax data to enhance the creditworthiness assessment of bank loan applicants.
  • Successfully reduced the incidence of false positive defaults by 30%, leading to better decision-making in loan approvals and risk management.

Education

ACADEMIC CAREER

Graduate program

Northeastern University, Boston USA
GRADUATION IN MAY 2025(2 YEARS)

Coursework - Programming Design Paradigm, Algorithms, DBMS, Web Development, Large Scale Data Processing, Data Mining, Machine Learning.

Undergraduate Program

Mahindra University, India
GRADUATED IN SEP 2020(4 YEARS)

Coursework - Data Structures, Operating Systems, Computer Networks, Cloud Computing and Machine Learning.
Final Year Project

0

Finished Projects

0

Total Skills