Vistrit Pandey — AI engineer and software engineer building applied AI that ships to production.Buildingapplied AIthat ships to production.

Software Engineer II, AI R&D

Blinkfire Analytics

Jan 2026 — PresentChicago, IL

Leading applied AI research and infrastructure across LLM training, inference, and production AI services.

• Built reinforcement learning, synthetic data generation, and model evaluation workflows over 12+ years of proprietary multimodal data for LLM training, benchmarking, and fine-tuning.
• Designed local LLM inference infrastructure using CUDA, TensorRT, NVIDIA Triton, Ollama, Docker, Kubernetes, and Linux to improve serving latency, throughput, deployment control, and cost.
• Developed AI agents and retrieval systems combining RAG, semantic search, tool execution, and customer-scoped context to generate analytics, recommendations, reports, and structured files.
• Built multimodal systems using Whisper, LLMs, and vision-language models for audio understanding, contextual classification, automated review, and reduced manual processing.
• Partnered with product, infrastructure, leadership, and enterprise stakeholders to ship production AI services, backend APIs, and full-stack product workflows.

Software Engineer I, AI R&D

Blinkfire Analytics

Apr 2024 — Dec 2025Chicago, IL

Shipped AI and analytics products across the stack with real-time inference workflows.

• Shipped AI and analytics products using Python, Go, TypeScript, REST, gRPC, Redis, Next.js, Vue.js, Firebase, and Google Cloud.
• Integrated GPT, Gemini, Llama, Hugging Face, and open-source models into semantic search, automation, content intelligence, and real-time inference workflows.
• Built model fine-tuning, quantization, serving, and inference optimization workflows using PyTorch, TensorFlow, CUDA, TensorRT, Triton, Docker, and Kubernetes.
• Developed backend APIs, asynchronous processing systems, annotation interfaces, and customer-facing applications across distributed service architectures.

Course Assistant, Computer Science

Drexel University

Sept 2022 — Sept 2023Philadelphia, PA

Supported computer science coursework through mentorship, labs, and evaluations.

• Mentored 500+ students across algorithms, machine learning, computer vision, computational imaging, programming, and software engineering through labs, debugging, code reviews, and project evaluations.