Technical Toolkit

Languages, frameworks & expertise.

A comprehensive look at the technologies I use to build low-latency AI software, voice-enabled call agents, and scalable business workflows.

AI / ML

  • LLMs
  • LangChain
  • Gemini
  • RAG
  • Prompt Engineering
  • LLM Fine-tuning
  • AI Agents
  • VITS (TTS)

Backend

  • Python
  • FastAPI
  • WebSockets
  • REST APIs
  • Twilio
  • Voice Pipelines

Data

  • NumPy
  • Pandas
  • MySQL
  • PostgreSQL
  • Vector Databases

Tools

  • Git
  • JavaScript
  • VS Code
  • Machine Learning

DevOps & Cloud

  • Docker
  • AWS
  • Vercel
  • Hugging Face
  • GitHub Actions
  • Linux

Competencies

How I apply my skills.

AI & Machine Learning

Building context-aware applications using Large Language Models, prompt engineering, and custom vector search. Experienced in training, fine-tuning, and optimizing vision/speech pipelines for production use.

  • InsightFace embedding similarity scoring
  • YOLOv8/v9 object and person detection models
  • Real-time speech translation and VITS (TTS) synthesis
  • RAG pipeline creation and semantic indexing

Backend & Systems

Architecting high-performance asynchronous backends and server structures. Specialized in WebSocket connections for real-time bi-directional streaming, RESTful API design, and communications triggers.

  • FastAPI async framework development
  • Full-duplex WebSocket communication streams
  • Twilio API integration for voice-calling agents
  • Asynchronous messaging pipelines and logging systems

Vector Search & Data

Designing databases for AI storage, semantic matching, and analytical queries. Experienced in configuring relational databases and vector indexing engines for rapid cosine-similarity lookups.

  • Qdrant vector collection setup and queries
  • PostgreSQL database schemas and connection pooling
  • NumPy & Pandas for mathematical/data operations
  • SQLAlchemy ORM integrations

Cloud & DevOps

Deploying and managing microservices in production environments. Optimizing deep learning models for CPU/GPU runtimes and setting up automated CI/CD deployment pipelines.

  • Docker containerization for portable runs
  • ONNX Runtime conversion for optimized AI inference
  • AWS service deployment and management
  • GitHub Actions workflows and Vercel hosting

Credentials

Certifications & courses.

Introduction to Large Language Models

Verified Issuer

Introduction to Generative AI Studio

Verified Issuer

Prompt Engineering with LangChain

Verified Issuer

Intro to AI Ethics

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