Ram Bikkina

Software Engineer with strong skills in AI systems, backend development, and building tools for AI models. Over two years of experience using tools like Cursor and Claude Code to build and launch AI products. Skilled in Python, FastAPI, PostgreSQL, Docker, Kubernetes, and monitoring tools. Currently building and managing three AI platforms for business use.

R&D Engineer at Jukshio Technologies (2024-06 – Present)

• Led the design, development, and launch of three main AI products: MCP Studio, AB Studio, and Agentic Studio.
• Built MCP Studio, allowing users to easily turn APIs into tools and connect them with AI models without writing complex code.
• Created AB Studio to test AI agents, track performance metrics, compare different models, and fix errors.
• Built Agentic Studio to create AI workflows with LangGraph and added tracking tools to monitor system performance.
• Delivered end-to-end AI software by connecting backend systems, AI agent frameworks, and monitoring tools.
• Built a multi-agent system using CrewAI to send user requests to the correct tools automatically.
• Designed a main supervisor agent that divides difficult tasks among smaller, specialized helper agents.
• Created step-by-step AI workflows in LangGraph to handle repetitive tasks and agent collaboration.
• Built fast web services using FastAPI that connect to Google Vertex AI models and secure login systems.
• Set up over 27 custom tools with clear rules to ensure safe and reliable execution.
• Built a streaming system using FastMCP to send live data to image and text recognition tools.
• Connected MCP tools to CrewAI across 15 points, improving tool success rates by 40%.
• Designed clean PostgreSQL databases using SQLAlchemy and Alembic for smooth updates.
• Improved API speed by caching common data, making responses 30% faster.
• Wrote Python scripts to automate daily work, cutting manual effort by 40% and speeding up document tasks by 75%.
• Packaged applications using Docker and Kubernetes for cloud hosting, raising server efficiency by 40%.
• Updated older Python software to modern versions, keeping production systems stable and reliable.
• Built machine learning pipelines with Transformers, Flask, and TensorFlow to run AI models locally.

Python Developer (Intern) at Rubistone Technologies LLC (2023-02 – 2023-08)

• Built Python APIs and Flask/Django services, making communication between backend and frontend systems 50% faster.
• Created a web dashboard for weather data that loaded in under 500 ms and worked on almost any device.
• Organized large datasets with Apache Parquet, making data searches 40% faster and reducing storage costs by 25%.
• Processed over 1 million records using PySpark on AWS, speeding up data processing by 35%.
• Set up cloud file storage and automatic data sync using AWS S3, Boto3, and AWS Lambda.
• Improved database queries and search speeds by 50%, reducing page load times.
• Built automated systems with AI to process documents, reducing manual review time by 30–40%.
• Designed an AI system to collect and organize over 500,000 news articles daily with 99.5% uptime.
• Automated Azure cloud setup using Terraform scripts, cutting setup time by 40%.

R&D Engineer at Jukshio (2020-07 – 2021-08)

• Wrote Python automation scripts that removed 30% of manual work across backend tasks.
• Built backend APIs for web and mobile apps, boosting system and database performance by 40%.
• Improved MySQL and PostgreSQL database queries, reducing wait times by 40%.
• Connected PostgreSQL databases to Flask web applications for reliable data processing.
• Cleaned and prepared data faster, cutting setup time by 30% while making reports more accurate.

Master of Science in Computer Information Technology – Purdue University, Hammond, IN (2022-10 – 2023-05)

Bachelor of Technology in Electronics & Communication Engineering – Aditya College of Engineering, Surampalem, India (2016-12 – 2020-08)