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Shivani Singh

Full Stack Developer

Available for Full-Time Opportunities

πŸš€ About Me

Software Engineer with 3+ years of experience building production applications and scalable infrastructure. I specialize in AI/ML integration, full-stack development, and turning innovative ideas into production-ready solutions. Currently pursuing a Doctorate in Business Administration with a focus on Business Intelligence & Data Analytics.

🎯 What I'm Looking For

I'm seeking challenging opportunities in AI product development where I can leverage my technical expertise while expanding into cutting-edge AI technologies. I'm particularly drawn to startups working on climate tech, sustainability, and responsible AI applications.

Work Authorization Status

πŸ‡ΊπŸ‡Έ United States

Authorized to work full-time via CPT (Curricular Practical Training). Available for remote, hybrid, or onsite positions in the Bay Area.

πŸ‡¬πŸ‡§ United Kingdom

Seeking opportunities with skilled worker visa sponsorship. Open to AI/ML and full-stack engineering roles in London startups.

🌟 Key Strengths

AI/ML Integration

Hands-on experience with LLM APIs, agent systems, and production AI applications. Built real-time analytics platforms with intelligent recommendations.

Full-Stack Architecture

End-to-end development from React frontends to Python backends, with expertise in scalable infrastructure and real-time data processing.

Startup Experience

Proven track record in fast-paced startup environments, from prototype to production deployment, with focus on rapid iteration and user feedback.

Research & Innovation

Currently conducting doctoral research on predictive analytics for financial systems, combining academic rigor with practical applications.

πŸ’Ό Experience

Apr 2022 - Nov 2022
Full Stack Engineer
Mixhalo, San Francisco, CA
  • Architected and prototyped real-time audio translation system (Mixhalo Translate), building foundational demo to demonstrate technical feasibility and market vision to stakeholders and investors
  • Conducted comprehensive technical research and proof-of-concept development for WebRTC-based audio processing pipeline, establishing scalable architecture patterns
  • Built production-ready infrastructure components using Kubernetes and Docker, improving cost-efficiency by 67%
  • Designed data pipeline architecture combining audio streaming, metadata processing, and user interaction patterns
Mar 2021 - Apr 2022
Software Applications Engineer
Extreme Networks, San Jose, CA
  • Architected data consolidation systems integrating multiple sources with SQL/NoSQL databases
  • Developed production-grade visualization dashboards in Power BI and Tableau, creating self-service analytics platform
  • Implemented comprehensive testing framework, reducing production incidents by 45%
  • Mentored engineering team members on network management and software architecture
Mar 2020 - Mar 2021
Frontend Engineering Intern
Extreme Networks, San Jose, CA
  • Collaborated with UX designer to revamp product's user interface, enhancing user experience and visual appeal
  • Developed frontend libraries using Dojo and Honeycomb frameworks, improving code reusability and development efficiency
Jul 2019 - Oct 2019
Teaching Assistant
Questrom School of Business, Boston University
  • Mentored students in refining research topics and preparing proposals for the chair's review, resulting in improved proposal quality and increased approval rates
  • Taught data analytics and business intelligence using R, Python, and SQL, leveraging BigQuery for analysis & visualization
  • Instructed foundational Data Science concepts, including algorithms, statistical analysis, and predictive analysis with IBM SPSS
  • Developed curriculum materials and provided one-on-one support to enhance student understanding of complex analytical concepts
Sep 2018 - Jan 2020
Assistive Technology Consultant
Disability & Access Services, Boston University
  • Analyzed concussion data using R, Scala, and Python, reducing incorrect assistive tool distributions by 97%
  • Automated student profile display with HIPAA-compliant PII redaction/encoding practices
  • Streamlined accommodations, reducing data redundancy by 80% and halving service request times
  • Launched "Library Scan Project," making BU libraries the go-to for accommodation requests

πŸ› οΈ Notable Projects

Windborne Constellation Tracker
Real-time analytics platform with Claude API integration for intelligent balloon trajectory prediction and automated operational recommendations. Features agentic system for anomaly detection and predictive maintenance recommendations.
Claude API Python React Real-time Analytics Agent Systems
Sustainable Fashion Analytics Platform
Production AI recommendation system using OpenAI GPT-4 and LangChain for personalized sustainability insights based on user behavior patterns. Achieved 85% user engagement with AI-generated suggestions.
OpenAI GPT-4 LangChain PostgreSQL Interactive Visualizations Geospatial Algorithms

⚑ Technical Skills

πŸ€– AI & Machine Learning

LLM Integration Agent Systems Prompt Engineering Claude API OpenAI LangChain RAG Context Handling Embedding Systems Tool-Calling Frameworks Statistical Analysis Predictive Analytics

πŸ’» Programming Languages & Frameworks

Python TypeScript JavaScript R SQL React Flask NodeJS HTML CSS

πŸ“Š Data & Analytics

ETL/ELT PostgreSQL Airflow Big Data Tableau Real-time Processing Power BI Data Visualization

☁️ DevOps & Cloud

Docker Kubernetes AWS GCP CI/CD RestAPI Streamlit Terraform Jenkins

πŸŽ“ Education

Doctor of Business Administration
Westcliff University, Irvine, CA
Oct 2022 - Aug 2026 (Expected)

Concentration: Business Intelligence & Data Analytics

Format: Online

Status: Currently in final year, expected graduation August 2026

Master of Science, Computer Information Systems
Boston University, Boston, MA
Sep 2018 - Jan 2020

Concentration: Database Management & Business Intelligence

GPA: 3.60

Bachelor of Technology, Electronics & Communication Engineering
Indira Gandhi Delhi Technical University, New Delhi, India
Aug 2014 - Jun 2018

CGPA: 8.9

πŸ”¬ Research

Doctoral Research Project
Westcliff University
Oct 2022 - Aug 2026 (Expected)

Topic: Quantitative analysis of reputational contagion effects on smaller banks when larger banks collapse

Methodology: Advanced machine learning models for multimodal data analysis with high precision, establishing foundation for predictive analysis in financial systems

Applications: Risk assessment, financial stability prediction, systemic risk modeling

🎯 Research Interests

Financial Technology

Predictive analytics for financial stability, risk assessment models, and systemic risk analysis using machine learning approaches.

AI Ethics & Safety

Fair usage of AI systems, responsible AI development, and regulatory frameworks for AI applications in business contexts.

Climate Tech Analytics

Data-driven approaches to sustainability measurement, environmental impact assessment, and climate technology optimization.

Business Intelligence

Advanced analytics for business decision-making, real-time data processing for operational insights, and predictive business modeling.