Pratik Upadhyay

About Pratik Upadhyay

Software engineer focused on distributed systems and agent driven backend platforms. I build production grade services that combine LLM reasoning, retrieval (RAG), and structured tool invocation to automate complex workflows. My work involves designing scalable APIs and microservices in Python, integrating PostgreSQL and Elasticsearch for high-performance retrieval, and deploying containerized systems on Kubernetes across cloud and hybrid environments.I’ve worked on workload schedulers, event-driven architectures, and high-availability deployments where reliability, observability, and performance matter. I’m particularly interested in building intelligent systems that operate predictably at scale.

Experience

1. Tech Developer for Automation, Ai & Integration

   Guild Systems Inc

   Aug 2024 — Present

   AI/ML-focused software engineer designing and deploying distributed agentic systems, enterprise automation platforms, and robotics integrated backend services- Leveraged foundational models (Llama, Flan, Granite, Mixtral) to summarize, classify, generate, and extract insights from datasets- Designed and deployed a document retrieval system integrating PostgreSQL, Elasticsearch, and Kibana for efficient data browsing and management- Built and fine-tuned an LLM-powered chatbot using WatsonX Orchestrate to deliver accurate, user-friendly responses to custom queries- Optimized model parameters (e.g, greedy/sampling methods, temperature, top P, top K) to enhance response creativity and diversity.

Education

• Binghamton University

  Masters, Computer Science

  2021 — 2023

• Shah And Anchor Kutchhi Engineering College

  Bachelor of Engineering - BE, Computer Engineering

  2017 — 2021