My profile picture
AI Engineer

Rakesh Nagaraju

AI engineer with 5+ years of experience in computer vision, generative AI, NLP, and LLMs.

👋 Hi, I'm Rakesh

Bay Area-based AI Engineer with proven track record for transforming challenges into impactful solutions.

My expertise spans Computer Vision and Large Language Models (LLMs), developing production-ready AI systems that transform cutting-edge research into scalable applications.

I specialize in building intelligent systems that not only solve complex challenges but deliver measurable business value with optimized performance and seamless integration.

AI Engineering • Computer Vision • Large Language Models • MLOps • Backend
Me @LakeTahoe
🚀

What I Do

  • AI system design & deployment
  • Computer Vision & LLM solutions
  • MLOps pipeline optimization
🎯

Why AI?

AI isn’t just my job—it’s my passion. Teaching machines to see, understand, and solve real-world problems feels like shaping the future 🌍.

🎮

Beyond Code

Avid learner exploring new technologies. Enjoy hiking, music, and gaming. Connect and share ideas with tech enthusiasts.

Core Values

🎨

Innovation First

Constantly exploring new approaches and technologies to push the boundaries of what’s possible in AI development.

Performance Driven

Committed to delivering high-performance AI solutions that scale efficiently and exceed expectations.

🌟

Impact Focused

Dedicated to creating AI solutions that drive meaningful change and deliver tangible value to users and businesses.

Professional Experience

Uniquify AI logo

AI Engineer

Uniquify AI

2021 - Present

3+ years in Computer Vision, NLP, and MLOps, designing and deploying AI at scale.

Expertise in training, optimizing, and deploying deep learning models for production.

Developed high-speed AI pipelines, improving model inference time by 40%.

PythonTensorFlowPyTorch+6
San Jose State University logo

Masters in Computer Science

San Jose State University

2019 - 2021

Specialized in Machine Learning and AI.

Published a research paper on GAN-based malware generation for adversarial security.

Additional coursework includes Distributed computing, Cybersecurity, IoS app development.

PythonTransformersBERT+4
Capgemini logo

Senior Software Engineer

Capgemini

2016 - 2019

Developed backend python systems for enterprise applications, focusing on performance, and security.

Worked on data pipelines and ML models for an internal customer analytics project at RBC.

Optimized regression-based models to derive financial insights.

PythonScikit-learnAWS SageMaker+5
NMIT logo

Bachelor in Computer Science

NMIT

2012 - 2016

Gained a strong foundation in computer science principles, covering algorithms, data structures, databases, and system design.

Led a capstone project on time-series forecasting, applying machine learning techniques for predictive analysis.

PythonScikit-learnTensorFlow+4
Scroll

SKILLS

Skills & Expertise

Training & Fine-Tuning (PyTorch / TensorFlow)

Python

Model Optimization & Deployment

MLflow (MLOps)

Docker / Kubernetes

FastAPI / Flask

AWS / GCP

MLOps & CI/CD Pipelines

Airflow / Spark

Kafka / RabbitMQ

PostgreSQL / MongoDB

Prometheus / Grafana

Featured Projects

RAG System image

RAG System

Role: AI Engineer

Retrieval-augmented generation for enterprise knowledge.

PythonTransformersElasticsearch
AI News Bot image

AI News Bot

Role: Full Stack Developer

NLP-driven aggregator for personalized headlines.

PythonNLTKReact
Scroll