Raj Kumar Konka | Software Developer & AI/ML Engineer

01.

About Me

I'm a Software Developer with over 2 years of experience building and maintaining full-stack applications, APIs, and data-driven solutions. Currently pursuing my Master's in Engineering Data Science at the University of Houston.

My unique blend of skills spans AI/ML engineering, full-stack development, and data science. I specialize in designing RESTful backend services, implementing intelligent workflows, and building responsive front-end interfaces that deliver real business value.

Currently working as an AI/ML Engineer at Vantive Inc., where I contribute to NuroStudio - a workflow orchestration platform that integrates AI-driven decision logic with enterprise systems.

Full-Stack Development

Building scalable applications with Java, Python, and modern frameworks

AI/ML Engineering

Implementing intelligent workflows and model integration pipelines

Data Engineering

Designing data pipelines and optimizing database performance

02.

Experience

July 2025 - Present

AI/ML Engineer

Vantive Inc. | Houston, Texas

Designed and implemented workflow orchestration logic for NuroStudio platform, handling rule-based flows and conditional execution
Integrated AI/ML model outputs into executable workflow logic with confidence scores and fallback behavior
Collaborated with platform engineers to improve workflow execution, routing logic, and error handling
Supported enterprise-scale data validation and reconciliation for SAP IS-U migrations
Authored technical documentation for workflow behavior and AI/ML integration points

Python AI/ML Workflow Orchestration REST APIs Cloud Services

August 2024 - August 2025

Research Assistant

University of Houston | Houston, Texas

Built modular Python services for simulating connected and autonomous vehicle (CAV) behavior with geospatial data processing
Developed routing algorithms implementing Intelligent Driver Models (IDM) for traffic optimization
Created dynamic visualizations including traffic heatmaps and live route maps using Folium and Matplotlib
Implemented low-latency APIs integrated with AWS Lambda and RDS
Designed alert systems for real-time event simulation with recovery logic for vehicle rerouting

Python AWS Lambda NetworkX CARLA Microservices

July 2022 - July 2023

Software Developer

NTT DATA | Hyderabad, India

Built and maintained backend services in Java and Python for internal business platforms
Designed RESTful API endpoints for usage tracking and metrics calculation
Optimized MySQL/PostgreSQL queries and resolved performance issues under high traffic
Implemented event-driven components using Kafka and Spark Streaming
Containerized services using Docker and managed Jenkins-based CI/CD deployments

Java Python Spring Boot Kafka Docker

February 2022 - July 2022

Data & Software Engineer

Wipro (StackRoute) | Hyderabad, India

Designed full-stack COVID-19 tracking application with global case statistics and watchlist features
Developed backend services using Python (Flask) with RESTful APIs for real-time data
Built responsive front-end interfaces with JavaScript, HTML, and CSS
Automated reporting flows using SQL and Python, reducing delivery cycles by 40%
Developed analytical dashboards using Power BI for KPI visualization

Python Flask JavaScript Power BI SQL

03.

Featured Projects

Featured Project

Intelligent Chatbot with RAG and LLaMA2 on AWS

Built a Retrieval-Augmented Generation (RAG) pipeline integrating AWS services with LLaMA2 on AWS Bedrock. Implemented data ingestion, chunking, and embedding using ChromaDB for vector storage. Integrated multiple LLMs for optimized response generation.

AWS Bedrock LLaMA2 ChromaDB Python RAG

Scalable Face Recognition System on AWS Cloud

Deployed real-time face recognition using cost-optimized EC2 instances and auto-scaled App Tier with AWS Lambda containers. Integrated SQS for messaging and S3 for storage. Reduced processing time to ~80 seconds for 100 concurrent requests.

AWS Lambda EC2 SQS Computer Vision Docker

Predictive Analytics for Student Graduation

Developed classification model using MLP and Bidirectional LSTM to predict student graduation outcomes. Improved accuracy from 85% to 92% by adding derived features. Used SHAP for interpretability with Tableau visualizations.

Neural Networks LSTM SHAP Tableau Python

Powerball Pattern Analysis & Number Generator

Educational analytics tool demonstrating advanced pattern recognition and statistical modeling. Implements 6 different generation models including custom GSE Emulator for structural pattern analysis.

Streamlit Python Pandas Pattern Recognition REST APIs

View More on GitHub

04.

Skills & Technologies

Languages

Java Python SQL C++ JavaScript

Backend & APIs

RESTful APIs Spring Boot Flask Microservices GraphQL

Frontend

HTML/CSS JavaScript React Responsive Design UI/UX

Cloud & DevOps

AWS (EC2, S3, Lambda) Docker Jenkins CI/CD Git/GitHub

Databases

MySQL PostgreSQL MongoDB ChromaDB Query Optimization

AI/ML & Data

Machine Learning Neural Networks RAG Pipelines Kafka Spark Streaming

Analytics & Visualization

Power BI Tableau Matplotlib Folium Data Analysis

Tools & Practices

Agile/Scrum Code Reviews VS Code IntelliJ IDEA Documentation

Hi, I'm Raj Kumar Konka