07/04/2026 updated
100 % available
Software Engineer || Machine Learning
ongole, India
Only remote
B Tech in Computer Science of EngineeringAbout me
To hold a responsible position in a professional organization where i can enhance my skills, gain experience and knowledge and to work hard to achieve the goals of the organization.
HTML5Cascading Style Sheets (CSS)DjangoPython (Programming Language)FlaskData AnalyticsSoftware Coding
Python & SQL Programming
Proficiency in Python and SQL for data engineering, analytics, and machine learning tasks. Optimization of complex SQL queries to extract and transform large-scale datasets, reducing data processing time.
Machine Learning & Databricks
Development and deployment of machine learning models using Databricks to improve data-driven decision-making processes. Experience with ML model implementation within fast-paced, collaborative environments.
Data Engineering & Pipeline Development
Building robust data pipelines and analytics solutions using cloud platforms such as Azure and Databricks, supporting production-ready code and operational analytics.
Flask Framework
Application development using the Flask web framework, including secure authentication with Flask-Login and bcrypt.
MySQL & PostgreSQL Databases
Database management and querying using MySQL and PostgreSQL, including PostgreSQL-backed conversation history and local testing with pgAdmin.
Git & Version Control
Use of Git for version control and collaborative software development, with project repositories hosted on GitHub.
Convolutional Neural Networks (CNN)
Development of intelligent systems using CNNs, such as an automated fish grading and sorting system that captures and classifies images with high accuracy.
Cloud Platforms (Azure)
Experience with cloud platforms including Azure for data processing and automation within data science projects.
Full Stack AI Application Development
Building multi-user AI chat applications with local LLM integration (Llama 3, Code Llama), real-time streaming, model switching, and responsive dark-themed UI with Markdown export.
Proficiency in Python and SQL for data engineering, analytics, and machine learning tasks. Optimization of complex SQL queries to extract and transform large-scale datasets, reducing data processing time.
Machine Learning & Databricks
Development and deployment of machine learning models using Databricks to improve data-driven decision-making processes. Experience with ML model implementation within fast-paced, collaborative environments.
Data Engineering & Pipeline Development
Building robust data pipelines and analytics solutions using cloud platforms such as Azure and Databricks, supporting production-ready code and operational analytics.
Flask Framework
Application development using the Flask web framework, including secure authentication with Flask-Login and bcrypt.
MySQL & PostgreSQL Databases
Database management and querying using MySQL and PostgreSQL, including PostgreSQL-backed conversation history and local testing with pgAdmin.
Git & Version Control
Use of Git for version control and collaborative software development, with project repositories hosted on GitHub.
Convolutional Neural Networks (CNN)
Development of intelligent systems using CNNs, such as an automated fish grading and sorting system that captures and classifies images with high accuracy.
Cloud Platforms (Azure)
Experience with cloud platforms including Azure for data processing and automation within data science projects.
Full Stack AI Application Development
Building multi-user AI chat applications with local LLM integration (Llama 3, Code Llama), real-time streaming, model switching, and responsive dark-themed UI with Markdown export.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentTeluguNative speaker
Project history
Developed and deployed machine learning models using Databricks to improve data-driven decision-making processes. Optimized complex SQL queries to extract and transform large-scale datasets, reducing data processing time.
Contributed to the development of robust data pipelines and machine learning solutions within a fast-paced, collaborative team. Responsibilities included data engineering and analytics pipeline development, machine learning model implementation and deployment, cloud platforms (Azure, Databricks), collaboration with cross-functional teams, and delivering production-ready code and supporting operational analytics.