Balarama
Satvik
Full Stack Developer & AI Engineer
Building scalable web applications with AI/ML integration
Balabhadrapatruni
Impact by Numbers
Measurable results that drive business value
WHAT I DO /
AI & Machine Learning
I build intelligent systems that solve real-world problems. From NLP-driven insights to XGBoost pipelines achieving 93%+ accuracy, I design ML solutions that deliver measurable business impact and drive efficiency.
Business Intelligence & Automation
I transform data into actionable insights and automate complex workflows. Using Power BI, Power Automate, and custom analytics platforms, I've saved 22+ FTEs and reduced operational errors by up to 75%.
Backend & Cloud Development
I architect scalable backend systems and cloud solutions. Specializing in Python APIs, Azure automation, and CI/CD pipelines, I build infrastructure that powers seamless deployments and optimizes resource utilization.
MY EXPERIENCE /
My professional journey
Ikes Student Admin Intern
Chartwells Higher Education
- •Designed and built a full-stack Python analytics platform for a university dining facility, processing 130k+ diner records across 8 food stations using NLP-driven insights
- •Engineered XGBoost-based ML pipelines with continuous retraining to forecast daily and hourly diner traffic, achieving 93%+ cross-validated accuracy
- •Achieved a 25% improvement in service efficiency and reduced food waste by 18% through data-driven scheduling, peak-hour identification, and automated trend insights
Software Designer 1
Hewlett Packard Enterprise
- •Led a team of 6 in developing an AI-powered solution to extract key data from Purchase Order PDFs, streamlining order entry with zero errors and protecting $231M+ in revenue
- •Designed and deployed a ML-based categorization system for incoming support cases, achieving 96.34% accuracy, auto-assigning tickets, and enhancing customer experience by 38% while saving 8 FTEs
- •Built an interactive chatbot to surface opportunity data, generate summaries, visual insights (charts, heatmaps), export outputs, and automate scheduled reporting emails
- •Automated a complex invoicing process for HPE GreenLake, reducing invoicing errors by 75.2% and saving 14 FTEs through end-to-end optimization
Software Developer Intern
Hewlett Packard Enterprise
- •Automated data extraction using Selenium from multiple sources, reducing manual workload by 83%
- •Applied Machine Learning, Deep Learning techniques to identify data patterns and generate actionable business insights, along with descriptive, predictive, and prescriptive analytics
- •Created an E2E Pipeline to send out scheduled alerts to leadership by creating various views and utilizing Power Automate and Power BI
Let's Work Together —
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PROJECTS /
RapidCloudify
Led the development of a pioneering On-Premise to Cloud automation platform, achieving a 30% reduction in manual effort by automating Azure Cloud deployment and facilitating seamless zero-code deployment
Cyberatic RV
Developed a comprehensive web platform enabling students to showcase internships, projects, skills, and certifications through a centralized profile system with advanced analytics and real-time collaboration
PROJECTS /
RapidCloudify
Led the development of a pioneering On-Premise to Cloud automation platform, achieving a 30% reduction in manual effort by automating Azure Cloud deployment and facilitating seamless zero-code deployment
Cyberatic RV
Developed a comprehensive web platform enabling students to showcase internships, projects, skills, and certifications through a centralized profile system with advanced analytics and real-time collaboration
The technologies and tools I use to bring ideas to life.
Languages
Frameworks & Tools
Databases
Technologies
Specializations
ABOUT ME /
I am a Full Stack Developer and AI Engineer with a passion for building intelligent systems that drive real-world impact. Currently, I am optimizing dining operations at Chartwells Higher Education using NLP and predictive analytics. My expertise lies in bridging the gap between robust backend architectures and cutting-edge machine learning solutions, ensuring that every line of code contributes to efficiency and scalability.
Previously, I spent two years at Hewlett Packard Enterprise, where I led teams to design AI-powered automation tools that protected over $231M in revenue and streamlined complex workflows. Whether it's architecting cloud-native applications or fine-tuning deep learning models, I thrive on solving difficult problems. I am dedicated to continuous learning and am always eager to tackle the next challenge in the ever-evolving tech landscape.
