Software Engineer – AI, Full-Stack & Data Systems

I design and build AI-powered systems end-to-end — from LLM agents and voice assistants to full-stack apps and distributed data pipelines. My focus is shippable, reliable, and maintainable software that ties user experience to measurable impact.

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What I build in 5 seconds of scanning

LLM Agents & Conversational Systems

Full-Stack AI Applications (Next.js + FastAPI)

Real-Time Voice Assistants

Distributed Data & Stream Processing Pipelines

Cloud-Native Deployments (Azure, AWS)

MLOps (MLflow, Docker, CI/CD, Terraform)

About

Building reliable systems for production environments

Hands-on experience across AI systems, full-stack applications, and data engineering. I build production services that connect LLM agents, voice interfaces, and web experiences to reliable data and cloud infrastructure.

I prioritize clarity, maintainability, and measurable impact: clean APIs, observable pipelines, thoughtful UX, and deployments that are easy to operate. I take products from idea to shipped release, collaborating closely with stakeholders and teams.

Professional Journey

Professional experience in Full Stack Development, AI/ML, and Cloud Solutions

Software Engineer – AI & Data Systems

Arkatech Solutions

May 2025 – Present · Bay Area, CA

•Designed and implemented end-to-end AI and data systems using microservices, distributed storage, and event-driven patterns.
•Built LLM-powered automation and personalization workflows with embeddings, retrieval layers, and orchestration.

Software Engineer Intern – AI & Full-Stack Systems

Anguliyam AI Solutions

Jun 2024 – Apr 2025 · Remote

•Developed SmartBuy AI Assistant, Navigating Assistant, and a voice-enabled agent with LLMs and vector-based retrieval.
•Shipped full-stack features in React/Next.js and FastAPI/Node.js to support AI workflows and real-time interactions.

Data Engineer Intern – Cloud & Big Data

Cognizant

Jan 2022 – Aug 2022 · Bengaluru, India

•Built ETL/ELT pipelines with AWS Glue, Spark, and Redshift to support analytics workloads.
•Implemented data quality checks and monitoring to keep pipelines reliable.

Data Engineering Intern – Analytics Automation

EPAM Systems

Dec 2020 – Mar 2021 · Hyderabad, India

•Automated PySpark workflows on EMR with Airflow DAGs.
•Built dashboards for KPI monitoring and operational visibility.

GitHub Activity

Live commit activity and open source contributions

Commit Activity

Active

Real-time commit activity over the past year

Projects

Production-grade applications demonstrating expertise in full-stack development, AI/ML integration, and cloud solutions

Live

Full-Stack • 2024

SmartBuy AI eCommerce Platform

⚡Page Load Time

1.2s

🏆Lighthouse Score

95+

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.

ReactTypeScriptNext.jsFastAPI+5

Completed

AI/ML • 2025

ScanX / ScanToActionAI

⚡Response Time

~2s

UI agent that turns screenshots and specs into actionable workflows with guided UX.

Next.jsTypeScriptFastAPIOpenAI API+2

Completed

AI/ML • 2024

ATS-Personalized Resume Generator

⚡Processing Time

<3s

🎯Keyword Match Rate

85%+

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.

PythonFastAPINLP LibrariesMachine Learning+4

Blinds & Boundaries - Virtual Try-On Application

Live

AI/ML • 2024

Blinds & Boundaries - Virtual Try-On Application

⚡Processing Time

3-5s

🎯Window Detection

90%+

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.

ReactTypeScriptFastAPIPython+5

Blinds Pro - Advanced Visualization Platform

Completed

AI/ML • 2024

Blinds Pro - Advanced Visualization Platform

⚡Processing Speed

2.0s

📊Batch Processing

10x

Enhanced version of the virtual try-on application with additional features for professional interior design and commercial applications.

TypeScriptReactNext.jsThree.js+3

Production

AI/ML • 2024

Railway Predictive Maintenance System

🎯Model Accuracy

90%+

⚡Processing Latency

<200ms

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.

PythonTensorFlowApache SparkAWS Lambda+4

Live

Full-Stack • 2024

Auto Loan AI Processing System

🎯OCR Accuracy

95%+

⚡Processing Time

30-60s

AI-powered loan processing system using AWS Textract OCR and voice assistants, reducing processing time by 40% and improving accuracy.

ReactTypeScriptPythonFastAPI+5

Completed

Full-Stack • 2024

Fitness Transformation Application

📈User Retention

78%

🎯Voice Recognition Accuracy

94%

AI-driven fitness application with personalized recommendations, voice navigation, and intelligent workout planning using LLM APIs.

ReactTypeScriptNode.jsOpenAI API+3

AI Job Hunter - Intelligent Job Search Platform

Completed

Full-Stack • 2024

AI Job Hunter - Intelligent Job Search Platform

🎯Match Accuracy

88%

📊Job Discovery Rate

+60%

AI-powered job search and application platform that uses machine learning to match candidates with relevant opportunities and optimize application strategies.

TypeScriptReactNext.jsPython+4

Completed

Full-Stack • 2023

Taskify Pro - Smart Task Management

⚡Real-time Sync Latency

<50ms

👥Concurrent Users

1000+

Enterprise-grade task management application with real-time collaboration, AI-powered prioritization, and advanced notification systems.

JavaScriptNode.jsExpress.jsMongoDB+3

Completed

Full-Stack • 2023

Personal Portfolio & Showcase

🏆Lighthouse Score

100

⚡Page Load Time

0.8s

Comprehensive personal portfolio website showcasing professional projects, skills, and achievements with modern design and interactive features.

TypeScriptReactNext.jsTailwind CSS+1

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

Professional Profiles

LinkedIn GitHub Email

What I’m learning now

• Azure Functions + Durable orchestrations for AI workflows
• Evaluating LLM agents with guardrails and tracing
• Stream-processing patterns with Kafka + Flink

Case Study: SmartBuy AI

How I shipped an AI shopping assistant end-to-end

Overview

SmartBuy AI embeds a conversational assistant inside a full-stack eCommerce experience. It handles search, recommendations, and navigation with a lightweight vector index and FastAPI services.

Problem

Users struggled to find products quickly and dropped off after slow search or poor recommendations.

Solution

Conversational assistant + semantic search backed by FastAPI, embeddings, and cached intents for sub-3s responses.

Tech Stack

Next.js, TypeScript, FastAPI, PostgreSQL, OpenAI API, Tailwind, Vercel

My Role

Architecture, API design, AI integration, frontend UX, deployment.

Results

• AI query responses in <3s with cached intents
• Faster product discovery via semantic search and voice/text navigation
• Production-ready deployment with monitoring and uptime focus

Architecture (high level)

Client (Next.js) → API Gateway (FastAPI) → LLM Orchestrator (OpenAI, LangChain)

Vector Store (embeddings) for semantic search + intent caching

PostgreSQL for products/orders · Background jobs for sync/index updates

Vercel + Azure/AWS services · Observability via logs/metrics

Screenshots to include

• Product search page
• AI chat recommendations
• Navigation assistant
• Category browsing

Architecture: ScanX Agent Loop

Frontend (Next.js) captures screenshots/specs → uploads to FastAPI

FastAPI routes to Orchestrator (LangChain + OpenAI) to parse layout and tasks

Vector store (PostgreSQL/pgvector) for similarity + retrieval

Action planner emits task cards → returned to UI for human-in-the-loop confirmation

Tech Stack

The tools I ship with

Languages

PythonTypeScriptSQL

Frontend

ReactNext.jsTailwind

Backend

FastAPINode.js

AI/ML

OpenAILangChainTensorFlowEmbeddings

Cloud

AzureAWS

Data

SparkAirflowSnowflake

Technical Expertise

Technologies and tools I work with

🧩Full-Stack & Backend

⚛️React

▲Next.js

📘TypeScript

🟢Node.js

⚡FastAPI

🐍Python

🐘PostgreSQL

🍃MongoDB

🧠Redis

🔗REST & GraphQL APIs

🤖AI / ML & Agents

🤖LLMs & Agents

✨OpenAI API

⛓️LangChain

📚Vector DBs (Pinecone/FAISS)

🧭Embeddings & RAG

🧪MLflow

🧠TensorFlow

🔥PyTorch

📡Data Engineering & Pipelines

⚡Apache Spark

📊Kafka

🌪️Airflow

❄️Snowflake

🗄️SQL & Data Modeling

🔄ETL/ELT Pipelines

✅Data Quality & Observability

📈Tableau / Power BI

☁️Cloud & Infrastructure

☁️AWS (Lambda, S3, Glue)

🔷Azure (Functions, App Service)

🐳Docker

⎈Kubernetes

🌍Terraform

🔄CI/CD

⚡Vercel

📡Monitoring & Logging

Certifications & Badges

Professional certifications and verified achievements

☁️

AWS Certified Solutions Architect – Associate

Amazon Web Services

View Credential

🛠️

AWS Certified Cloud Practitioner

Amazon Web Services

🌐

Cisco Certified Network Associate (CCNA)

Cisco Systems

View Credential

📘

Machine Learning Specialization

Coursera (Andrew Ng)

🧩

HackerRank Problem Solving

HackerRank

🗄️

HackerRank SQL (Intermediate)

HackerRank

🧱

HackerRank Data Structures

HackerRank

📊

HackerRank Data Science

HackerRank

🛰️

Big Data Specialization

Undergraduate Program