Hi, I'm
Siddhartha Nagula
Software Engineer & AI Cloud Specialist
Software Engineer and AI Cloud Specialist with 4+ years of building scalable, cloud-native applications and intelligent AI solutions for enterprise and high-growth firms. Expert in Python, Java, microservices, and distributed systems on AWS, GCP, and Azure.
About Me
I'm a Software Development Engineer and AI Cloud Specialist with 4+ years of experience building scalable, cloud-native applications and intelligent AI solutions for enterprise and high-growth firms. Currently pursuing my Master's in Computer Science at the University of Texas at Arlington.
Skilled in Python, Java, SQL, microservices, RESTful APIs, and distributed systems on AWS, GCP, and Azure. I've delivered end-to-end ETL pipelines, integrated data platforms, and deployed production LLM and ML models via MLOps and DevOps practices, leading to 18% revenue growth, 22% retention improvement, and 12% cost reduction.
AI/ML & LLM Engineering
Expert in LLMs, LangChain, Hugging Face, TensorFlow, PyTorch, and production ML model deployment. Built intelligent applications with real-time analytics and automated workflows.
Cloud & DevOps Engineering
Proficient with AWS, GCP, Azure, Docker, Kubernetes, and Terraform. Architected secure, automated workflows and optimized CI/CD pipelines for rapid releases.
Full-Stack Development
Built scalable applications with Python, Java, React, Django, FastAPI, and microservices architecture. Created dashboards with Tableau, Power BI, and Looker for data-driven insights.
Technical Skills
Comprehensive expertise across the full technology stack for building modern, scalable applications
Languages & Frameworks
- Python
- Java
- C#
- C++
- Shell
- Flask
- Django
- FastAPI
- React.js
- TypeScript
- JavaScript
- HTML
- CSS
AI & Data Science
- LLMs
- LangChain
- Hugging Face
- LlamaIndex
- Diffusion Models
- Transformers
- OpenCV
- NLP
- FAISS
- PyTorch
- TensorFlow
- Keras
Data Visualization
- Power BI
- Tableau
- Excel
- Looker
- Dataflow
- Dashboards
- Charts
- Tables
- Pivot Tables
- Data Analytics
Cloud Platforms
- GCP
- Compute Engine
- BigQuery
- Vertex AI
- AWS
- SageMaker
- EC2
- S3
- Azure
- Serverless
- Firebase
- Kubernetes
DevOps & MLOps
- Docker
- Terraform
- MLflow
- Data Pipelines
- Weights & Biases
- DVC
- Airflow
- CI/CD
- Prompt Engineering
- IaC
Big Data & Databases
- Spark
- Hadoop
- Pandas
- NumPy
- Databricks
- Snowflake
- Kafka
- MongoDB
- MySQL
- PostgreSQL
- SQLite
- ETL
Featured Projects
A selection of my recent work showcasing expertise in AI/ML, cloud computing, mobile development, and cybersecurity.
Complete AI-Driven Health Platform (Web & Mobile)
Full-stack AI health-tracking platform featuring voice-command logging, multilingual support, personalized health scoring, nutrition and fitness tracking, real-time analytics, medication reminders, and weekly AI-generated video summaries.
Built comprehensive health tracking with AI-powered insights, voice commands, and multilingual support for global accessibility.
AI Document Assistant - Cloud & AI-Powered Chatbot
Built an AI chatbot that extracts cited answers from documents, enabling instant insights from PDFs, DOCX, and TXT files using advanced NLP and vector databases.
Optimized document processing pipeline to handle 200+ page documents with 70% faster response times using vector embeddings.
AdsEarn - Android Analytics App
Led a two-person UI/UX team to design a user-centric interface, increasing satisfaction scores by 10% during beta testing. Improved backend performance by 8% and reduced downtime by 12% with Firebase-powered mobile app for targeted ad tracking.
Optimized ad loading and caching to reduce load times by 50% and implemented fraud detection to ensure legitimate ad views.
NetWorcked - Open Source CLI Security Toolkit
Automated vulnerability assessment and reconnaissance tasks by developing a Python toolkit with 10+ modular scripts, including Apache scans, CVE lookups, and OWASP Top 10 testing. Facilitated educational learning with 100+ GitHub views.
Automated security scanning reducing manual testing time by 75% while maintaining 99% accuracy in vulnerability detection.
Service Request System (SRS) - Android App
Developed six core modules, including authentication, booking, and review systems. Implemented Agile Scrum practices to improve sprint delivery by 25% and collaborated with cross-functional teams for data-driven solutions.
Implemented real-time booking updates and reduced database queries by 60% using Firebase listeners.
Donation Web Application
Ensured 99% uptime by building a secure, real-time web donation platform using Django and SQLite. Created a dynamic analytics dashboard to monitor transactions, identify anomalies, and support predictive donor behavior modeling.
Implemented secure payment processing with 99.9% uptime and reduced donation processing time by 60% through optimized database queries.
Professional Experience
4+ years of experience building scalable applications, leading teams, and delivering measurable business impact through technology solutions.
Supervisor
Compass Group USA
- Automated daily logs and reports with Python and Excel macros, reducing reporting time by 15% and increasing data accuracy.
- Improved shift productivity by 20% by managing a 7-person team and implementing standardized communication protocols.
- Built predictive models forecasting customer footfall, boosting staffing efficiency and increasing service capacity by 10%.
- Automated performance reporting with Python and Excel macros, reducing errors by 30% and report generation time by 15%.
- Analyzed transaction and customer flow data in SQL/Python, optimizing staffing and improving peak-hour throughput by 12%.
- Developed advanced Tableau dashboards that reduced inventory stockouts by 15% through enhanced real-time tracking.
Technical Operations Lead
Black Iron Fitness Studio
- Enhanced email campaign analytics, achieving a 30% improvement in user engagement and response rates.
- Conducted churn analysis that improved customer retention rates by 22% through targeted interventions and predictive analytics.
- Improved payment accuracy by 30% by deploying a CRM that reduced manual entry by 20% and minimized delayed renewals by 10%.
- Led analytics initiatives delivering segmentation models, resulting in 47% customer growth and a $200K annual revenue increase.
- Boosted customer retention by 22% through marketing performance analysis and behavior-based improvements.
- Automated analytics workflows using Apache Airflow and AWS Lambda, reducing manual processes by 40%.
AI & Data Science Intern
Personifwy
- Optimized chatbot response time by 12% by developing an NLP bot with Azure Cognitive Services and FastAPI.
- Improved training efficiency by 5% through preprocessing and visualizing 1,000+ records using Pandas and Matplotlib.
- Enhanced model accuracy by 8% and reduced false positives by 6% by fine-tuning text classifiers in TensorFlow using Python.
- Implemented a real-time model-monitoring pipeline (Prometheus + custom data-drift detectors) that surfaced 100% of out-of-distribution chatbot inputs, cutting root-cause debugging time by 30% for the NLP service.
Education
My academic journey in computer science and specialized technical fields.
Master of Science in Computer Science
University of Texas at Arlington
- Specialization: Intelligent Systems, Robotics, and Advanced Software Engineering
- Relevant coursework: Advanced AI, Machine Learning, Cloud Computing, Distributed Systems, Data Mining
- Research focus on AI applications in healthcare and automation systems
Bachelor of Technology in Computer Science and Engineering
Vardhaman College of Engineering
- Core coursework: AI, ML, Cloud Computing, Data Structures, Algorithms, Database Systems
- Final year project: AI-powered health monitoring system with real-time analytics
- Active member of coding club and participated in multiple hackathons
Certifications
Professional certifications validating expertise in AI/ML, cloud computing, cybersecurity, and emerging technologies.
Coding Profiles
My competitive programming and problem-solving profiles across platforms.
Google Cloud Skills & Completion Badges
Achievements and certifications across cloud infrastructure, DevOps, data, and security domains.
Infrastructure & DevOps
Data & Analytics
Machine Learning & AI
Security & Cloud Architecture
From My Blog
Thoughts, insights, and tutorials on AI/ML, cloud, Security, and software development.
Top 10 Ethical Hacking Tools You Should Know in 2025
Explore the most effective tools used by ethical hackers today—from Nmap and OWASP ZAP to Metasploit and Burp Suite—with real-world use cases.
How AI Automation works & How I built Document Q&A With LLMs: n8n, FastAPI and LangChain
A deep dive into building an AI document assistant that extracts cited answers from PDFs and DOCX files. Learn how I used FastAPI, LangChain, Hugging Face Transformers, Pinecone, and Google Cloud to power instant insights and robust search.
Building an End-to-End AI Health Tracker: Real-Time Analytics, Voice Logging, and Video Summaries
Explore how I designed and deployed a full-stack AI-powered health platform, integrating real-time analytics, multilingual voice-command logging, and automated video health summaries using React, FastAPI, Supabase, ElevenLabs, and advanced MLOps.
Let's Connect
I'm actively seeking Software Development and AI/ML Engineering opportunities — let's connect!