AI Engineer & ML Specialist

Prakhar
Bhardwaj

I'm an AI Engineer with a passion for LLMs and Computer Vision. From building self-teaching systems at Skylark Labs to deploying production chatbots at BNY Mellon and Enterprise Solutions, I turn research into real-world impact. MS in Mechanical Engineering (ML focus) from Carnegie Mellon University with a 4.0 GPA.

4.0
CMU GPA
5+
Years Experience
10+
Projects
3
Publications / Demos

01

Education

Carnegie Mellon University

Aug 2022 - May 2024

GPA 4.0 / 4.0

Master of Science in Mechanical Engineering

Focus: Machine Learning & Computer Vision

Machine LearningDeep LearningData AnalyticsComputer Vision

Thapar Institute of Engineering and Technology

Aug 2017 - June 2021

GPA 9.3 / 10.0

Bachelor of Engineering in Mechanical Engineering

Object-Oriented ProgrammingOptimization TechniquesNumerical Analysis
02

Experience

AI Engineer

Enterprise Solutions Inc.

Dec 2024 - Present

Remote

  • Built a Chat Assistant web app for Loudoun County Dept. of IT using Cosmos DB, Python backend, React+Vite frontend deployed on Azure Web App.
  • Integrated voice features and user memory personalization to enhance accessibility and conversational depth.
AzureCosmos DBReactPythonLLM

Data Scientist

BNY Mellon

Sep 2024 - Dec 2024

Pittsburgh, PA

  • Created RAG-based chatbot using on-prem Llama3.1-70b for remediation advice on vulnerable drivers: 88% accuracy, F1 score 0.85.
  • Built RESTful API with FastAPI and integrated it into the frontend, decoupling logic for scalability.
RAGLlama 3.1FastAPILangChainPython

Research Associate

Carnegie Mellon University

May 2024 - Sep 2024

Pittsburgh, PA

  • Built an end-to-end AI podcast generation pipeline using Llama3 and GPT-4 for script generation (88% accuracy).
  • Integrated voice-cloning text-to-speech model to produce realistic, engaging audio outputs.
Llama 3GPT-4TTSPythonGenAI

Machine Learning Intern

Skylark Labs Inc.

June 2023 - Dec 2023

San Francisco, CA

  • Developed self-learning label management module using YOLOv8, DreamSim, Swin Transformer, and BoT-SORT with 40% accuracy boost via synthetic data generation.
  • Applied super-resolution techniques to sharpen image clarity, achieving 30% improvement in fine-object detection.
YOLOv8Computer VisionPyTorchSynthetic Data

Automation Engineer

Dana Anand India Pvt. Ltd.

July 2021 - June 2022

Maharashtra, India

  • Built deep learning quality control system for bearing cups using Basler ace camera + Jetson Nano, achieving 90% reduction in manual sorting.
  • Increased production efficiency by 25%, scaling output to 100,000 parts/month.
Deep LearningJetson NanoOpenCVMLOps
03

Featured Projects

04

Skills

Programming

PythonC++SQLRJavaScriptTypeScript

ML Frameworks

PyTorchTensorFlowKerasHugging FaceONNXPEFT/LoRA

LLM & Agents

LangChainLlamaIndexPydanticAIFastMCPOpenAI APIGemini 2.5WandBStreamlit

Computer Vision

OpenCVYOLOv8TensorRTPILSwin Transformer

Web / APIs

FastAPIFlaskNext.jsReactshadcn/uiSSEREST APITanStack Query

Databases

PostgreSQLFaissPineconeChromaCosmos DB

MLOps & Cloud

DockerDocker ComposeMLflowDVCCI/CDAWSAzure AI StudioGCPLogfire

Data & Finance

Finnhub APIyfinancerobin_stocksRechartsZustand
05

Get In Touch

Whether it's a project collaboration, job opportunity, or just a chat about AI, my inbox is open.