Prasad P R

Innovative ā€¢ Experienced ā€¢ Results-Driven

Accomplished AI Engineer with 8+ years of expertise in designing, developing, and deploying both traditional AI/ML and LLM based solutions at scale. Proven success in optimizing LLMs, generative AI, and computer vision models for production, with deep proficiency in Python, PyTorch, TensorFlow, Langchain and OpenVINO. Experienced in building scalable pipelines, RAG pipelines, agentic workflows, model optimization frameworks, and AI-driven applications across NLP, RAG. Adept at leading AI projects end-to-end, mentoring engineers and delivering solutions that drive measurable business impact.

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Prasad P R

AI Software Development Engineer @ Intel

šŸ“ Bengaluru, Karnataka, India

Professional Experience

AI Software Development Engineer

Intel Corporation | Jun 2022 ā€” Present
  • Achieved 10x performance enhancement on Intel GPU by optimizing transformer models
  • Implemented automated pipeline reducing benchmarking time from 5 hours to 30 minutes
  • Developed Real-Time 3D Camera Calibration reducing inference time by 80%
  • Enhanced AI models boosting training and inference speeds by 30%

System Software Development Engineer

Intel Corporation | Aug 2018 ā€” Jun 2022
  • Led development of MERN stack Solution Delivery System with 1000+ downloads
  • Improved access time by 30% through microservices architecture
  • Reduced maintenance time by 80% through CICD integration

Software Engineering Intern

Intel Corporation | Oct 2017 ā€” Aug 2018
  • Contributed to GitHub Archives program as part of Hyperledger Sawtooth
  • Developed Angular JS UI for blockchain visualization
  • Built POC for Stereo Vision and Computer Vision

Skills & Expertise

Programming Languages

Python C++ JavaScript

AI & ML Concepts

Machine Learning Algorithms Deep Learning Techniques Data Processing, Analysis & Visualization Computer Vision & Natural Language Processing

šŸ§  Generative AI & LLM Techniques

LangChain Huggingface Transformers OPenAI API Agentic AI RAG - Retrieval-Augmented Generation Prompt Engineering Vector Databases - PineCone, ChromaDB, FAISS, PGSQL

šŸ› ļø Deep Learning Frameworks

Tensorflow Pytorch OpenVINO Onnx HuggingFace Langchain

šŸ’» Application Development and Deployment

System and Application Design Microservices & REST Architecture Git Docker Kubernetes Django Rest Framework FastAPI Flask

šŸ” DataBases

NoSQL - MongoDB SQL - PostgreSQL

Key Projects

Find Me A Cube

Objective: No cost solution for identifying empty cubes in hybrid workspace

Solution: Cloud hosted solution using Django REST API, React JS, and MongoDB

Result: Faster cube identification with analytics for building management

Automated Smart Reports using Gen AI

Objective: Speed up report collation and reduce manual work

Solution: Gen AI & prompt engineering to extract and combine information

Result: Reduced report generation time from 5 days to 30 minutes

Smart Hiring & Resume Screening

Objective: Help hiring managers screen suitable resumes efficiently

Solution: LLM models for similarity mapping with job descriptions

Result: Reduced resume screening time from hours to minutes

Enterprise RAG Assistant

Objective: Having an assistant to look through a huge set of enterprise documents and return suitable documents matching the keywords.

Solution: Retrieval-augmented generation system using LangChain + PGSQL, hosted on IBM Cloud Foundry using Docker images to enable natural language querying across 10k+ enterprise documents. R

Result: Top ā€˜nā€™ number of documents are shared back to the user based on their query.

Finance & Stock Markets Analysis

Objective: Fetch financial details and perform fundamental analysis

Solution: Agentic AI with Python pandas for company analysis

Result: Automated stock purchase recommendations using phidata

Awards & Certifications

šŸ†

Divisional Recognition Award (DRA)

Intel Corporation
Company Award

Recognized for outstanding contributions and exceptional performance in AI software development projects.

ā­

Innovation Star

Intel Corporation
Innovation Award

Awarded for innovative solutions and breakthrough achievements in AI model optimization and performance enhancement.

šŸ”—

Build RAG Applications: Get Started
Coursera & IBM
LLM Certification

Master Retrieval-Augmented Generation (RAG) by building Python apps with LangChain and LlamaIndex, designing Gradio interfaces, and exploring key framework differences.

šŸ”—

Build RAG Applications: Get Started
Coursera & IBM
LLM Certification

Master Retrieval-Augmented Generation (RAG) by building Python apps with LangChain and LlamaIndex, designing Gradio interfaces, and exploring key framework differences.

šŸŽ“

Deep Learning With PyTorch: Image Segmentation

Coursera
Technical Certification

Specialized training in image segmentation techniques using PyTorch framework for computer vision applications.

šŸ”—

LangChain: Develop LLM Powered Applications
Udemy
LLM Certification

Comprehensive course on building production-ready applications using LangChain framework and Large Language Models.

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Generative AI with Large Language Models
Coursera
AI Certification

Advanced certification covering the latest techniques in generative AI and large language model implementation.

šŸ“Š

Executive PG in AI & Machine Learning

IIIT Bangalore & upGrad
Academic Program

Executive program with 3.63/4 CGPA covering advanced AI/ML concepts, practical implementations, and industry applications.

Let's Connect

šŸ“§ shenoy.prasad20@gmail.com
šŸ“± +91 9740146523
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