Lahari Karrotu
About
Building reliable systems for production environments
Professional Journey
Professional experience in Full Stack Development, AI/ML, and Cloud Solutions
Full Stack AI Engineer
Arkatech Solutions | May 2025 – Present
Built AI-powered virtual try-on platform using computer vision (OpenCV, TensorFlow) and 3D rendering (Three.js, WebGL) enabling real-time product visualization in customer spaces
Developed automated measurement portal with dimension calculation and product customization features for eCommerce integration
Implemented computer vision algorithms for window detection and room analysis achieving 90%+ accuracy in real-world scenarios
Deployed scalable cloud architecture on Microsoft Azure with serverless functions processing high-resolution images in real-time
Built full-stack application (React, TypeScript, FastAPI) with responsive design optimizing user engagement and conversion rates
AI/ML Full Stack Developer
Anguliyam | August 2024 – May 2025
Developed voice-assisted navigation agent using Google Cloud Speech API and OpenAI, enabling hands-free product discovery and conversational user interaction
Built real-time ML system for predictive maintenance using TensorFlow LSTM models and Apache Spark processing sensor data streams
Created React monitoring dashboards with WebSocket connections for real-time equipment health visualization and alert management
Deployed ML models on AWS Lambda for serverless inference enabling scalable real-time predictions with low latency
Implemented end-to-end ML pipeline from data ingestion to model deployment with automated monitoring and alerting
Big Data Engineer (Internship)
Cognizant, Hyderabad | January 2022 – August 2022
Built ETL pipelines (Apache Spark, Kafka) processing 5TB+ monthly data, improving data availability by 40%
Optimized database queries reducing query latency by 30% through indexing and query tuning
Developed REST APIs (Java, Python) supporting 15+ projects, handling 100K+ requests daily
Implemented automated data quality checks reducing data errors by 50% in production pipelines
Designed data warehouse architecture (AWS Redshift, S3) reducing query costs by 25%
Data Analyst (Internship)
EPAM Systems, Hyderabad | December 2020 – March 2021
Developed Python data ingestion framework reducing processing time by 30%, handling 1TB+ daily data
Configured AWS Data Pipeline (S3 to Redshift) improving data load efficiency by 35%
Built data transformation pipelines using AWS EMR processing 500GB+ datasets between S3 and DynamoDB
Automated data workflows with Apache Airflow reducing manual intervention by 80%
Developed Spark ML modules for predictive analytics, improving forecast accuracy by 20%
Education
MS in Computer Science
Florida Institute of Technology | 2024
Specialization: Big Data Analytics and Data Science
BS in Computer Science
KL University, India | 2022
GitHub Activity
Live commit activity and open source contributions
Commit Activity
ActiveReal-time commit activity over the past year
Projects
Production-grade applications demonstrating expertise in full-stack development, AI/ML integration, and cloud solutions

SmartBuy AI eCommerce Platform
Full-stack eCommerce platform with AI-powered navigation assistant and intelligent product recommendations. Features real-time inventory management, secure payment processing, and responsive design. Production deployment handling active user traffic.

ATS-Personalized Resume Generator
AI-powered resume optimization tool that analyzes job descriptions using NLP and generates ATS-optimized resumes. Extracts key requirements, matches skills, and creates personalized resumes with high compatibility scores.

Blinds & Boundaries - Virtual Try-On Application
Virtual try-on application for window blinds using computer vision and 3D rendering. Enables customers to visualize products in their actual space with realistic lighting and perspective. Deployed on Azure with real-time image processing.
Railway Predictive Maintenance System
Real-time predictive maintenance system for railway equipment using machine learning. Processes sensor data streams with TensorFlow LSTM models to predict equipment failures, enabling proactive maintenance and reducing downtime.

Contact
Open to discussing new opportunities, collaborative projects, and technical challenges in full-stack development and AI/ML integration.
Get In Touch
I'd love to hear from you! Let's discuss your next project.
Or email me directly at laharikarrothu@gmail.com
Technical Expertise
Technologies and tools I work with
⚛️Frontend
🐍Backend
🧠AI/ML
📊Data
⚙️Productivity Tools
☁️Cloud & DevOps
Certifications & Badges
Professional certifications and verified achievements
ServiceNow Certified Application Developer
ServiceNow
Oracle Database SQL Certified Associate
Oracle Corporation
Google Cloud Professional ML Engineer
Google Cloud
Kubernetes Administrator (CKA)
Cloud Native Computing Foundation



