Gaurav Ardak

About Gaurav Ardak

A results-driven Software Developer with 7+ years of demonstrated history working across diverse domains such as Cloud, Banking, Manufacturing and Digital platforms, with a proven track record of delivering high-quality solutions that meet client needs and expectations. I am proficient in application development, API management, SaaS, and cloud services, with a strong skill set in programming languages like Python, Java, ReactJS, JavaScript, NodeJS, and PHP. I have experience working in an agile environment with a good understanding of end-to-end software development life cycles.As a Research Assistant at The University of Texas at Arlington, I am exploring the cutting-edge domains of Digital Twins, Edge Computing, and Self-Organizing Wireless Networks. I am passionate about advancing the state-of-the-art in these fields and applying them to real-world problems.I enjoy learning new technologies and elevating my skill set, which fuels my continuous growth and empowers me to stay at the forefront of innovation.Skill set-* Programming Languages: Python, Java, ReactJS, JavaScript, PHP.* Big Data Analytics: Spark, Hadoop MapReduce, Kafka.* SQL Databases: MySQL, PostgreSQL, MongoDB.* Cloud: Azure, AWS, GCP.* Web Programming Libraries: React, NodeJS, Flask, FastAPI, Django, Jinja.* Deployment Tools: Docker, Jenkins, GitHub, Gitlab, Kubernetes.

Experience

1. Full Stack Developer

   Fractal

   Jan 2024 — Present · Redwood City, CA, US

   Enabled seamless integration of AI modules by building a GenAI response system with LlmEngine for real-time streaming inference, orchestrated using LangGraph and validated with Pydantic. Optimized response quality across diverse use cases by orchestrating multiple LLMs (Claude 3.5 Sonnet, GPT-4, GPT-4 Mini) through a configurable engine layer that allowed dynamic model selection and switching. Improved precision of AI-generated responses by developing a Retrieval-Augmented Generation (RAG) pipeline, indexing response templates into a PgVector-backed Vector Store with semantic chunking for accurate context retrieval. Developed an interactive Chatbot component, delivering real-time communication with a GenAI-powered suggestions module, improving user engagement and ensuring more accurate, context-aware responses. Increased operational efficiency by 35% through engineering backend services in Python/JavaScript for data processing and reporting, and building reusable UI components in React, TypeScript, and Redux.

Education

• The University of Texas at Arlington

  Master's Degree Computer Science, Computer Science

• Savitribai Phule Pune University

  Bachelor's degree, Computer science

  2012 — 2016