Piyush Pandey

About Piyush Pandey

I am an AI/ML Engineer dedicated to building next-generation, AI-powered systems that combine advanced machine learning with scalable backend architecture. My work focuses on transforming intelligent models into production-ready solutions by integrating robust infrastructure with cutting-edge AI research.My core expertise lies in Large Language Models (LLMs), Transformer architectures, Multi-Agent AI systems, Natural Language Processing, and Computer Vision (CNNs). I design end-to-end AI pipelines—from data collection and preprocessing to model training, fine-tuning, evaluation, and deployment—ensuring that intelligent systems are scalable, efficient, and reliable.I specialize in implementing Transformer-based models for NLP tasks, Retrieval-Augmented Generation (RAG) pipelines, and designing multi-agent workflows where autonomous AI agents collaborate, reason, and execute structured tasks. My focus is not just model accuracy, but system orchestration, agent communication, memory handling, and real-world deployment readiness.On the engineering side, I build secure and high-performance backend systems using Python, Django, and RESTful APIs, enabling seamless interaction between AI models, databases, and user-facing applications. My recent certification as an Oracle SQL Explorer reflects my strong command over relational databases, query optimization, and scalable data management for AI-driven platforms.What I Bring to the TableAI & Generative Systems EngineeringDesigning and deploying Transformer-based NLP models, LLM-powered applications, and multi-agent AI architectures for intelligent automation.Model-to-Production ExpertiseConverting research prototypes into production-ready systems with scalable APIs, efficient inference pipelines, and optimized deployment workflows.Backend & System ArchitectureDeveloping secure, scalable backend infrastructures that support AI applications in real-world environments.Data Layer OptimizationStrong SQL proficiency with a focus on database integrity, performance tuning, and efficient interaction between AI systems and structured data.Research-Driven Decision MakingApplying structured evaluation techniques (including MCDM approaches) to select optimal technologies and architectures for complex AI problems.I am actively seeking opportunities to collaborate on innovative AI products that leverage LLMs, multi-agent intelligence, and scalable backend systems to solve real-world challenges.Let’s build intelligent systems that think, reason, and scale.

Experience

1. Software Engineer Ai Ml & Data Science

   Webunitech Solutions Llp

   Jan 2026 — Present

   Developing and maintaining scalable backend systems using Python and Django, ensuring secure, high-performance, and maintainable architectures.Designing and building RESTful APIs with Django REST Framework (DRF) for web and mobile applications.Designing relational databases and ERDs, optimizing schemas for efficient data storage, queries, and analytics readiness.Collaborating with cross-functional teams on data preprocessing, validation, and structuring for analytics and ML pipelines.Integrating machine learning model outputs (predictions and recommendations) into backend services for AI-powered applications.Modeling system architecture and data flow using Visual Paradigm to support scalable, analytics-driven systems.Testing, optimizing, and monitoring APIs using Postman, improving performance, reliability, and error handling.Documenting APIs with Swagger (OpenAPI) for smooth collaboration across backend, frontend, and data teams.Gaining hands-on experience in production-level AI/ML application development, bridging data science and software engineering.

Education

• Gateway Education

  Bachelor of Technology - BTech, Computer Science

• Computer Science & Engineering Department DCRUST Murthal

  Bachelor's degree, Computer Science

• St. Jude's Academy aff. St. Mary Sr. Sec. School

  Secondary School (10th), CBSE

• Hindu Vidyapeeth

  Higher Secondary (12th) (Non-med), CBSE