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Hi, I'm Abhishek Majumdar, a senior machine learning engineer based in Santa Clara, CA, with 8 years of experience building AI-driven products, scalable ML systems, and full-stack intelligent applications. I specialize in end-to-end AI solutions using Python, ML, Deep Learning, Generative AI, LLMs, NLP, and AI Agent architectures. I have a strong track record delivering production-grade platforms with backend frameworks, cloud infrastructure, model deployment, monitoring, and modern web technologies like JavaScript and TypeScript. I enjoy collaborating across teams to translate complex AI concepts into reliable, user-focused applications and leading technical initiatives that drive measurable impact.…Hi, I'm Abhishek Majumdar, a senior machine learning engineer based in Santa Clara, CA, with 8 years of experience building AI-driven products, scalable ML systems, and full-stack intelligent applications. I specialize in end-to-end AI solutions using Python, ML, Deep Learning, Generative AI, LLMs, NLP, and AI Agent architectures. I have a strong track record delivering production-grade platforms with backend frameworks, cloud infrastructure, model deployment, monitoring, and modern web technologies like JavaScript and TypeScript. I enjoy collaborating across teams to translate complex AI concepts into reliable, user-focused applications and leading technical initiatives that drive measurable impact.

Abhishek Majumdar

AI Engineer, Data Scientist, Full Stack Developer, +3

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Hi, I'm Abhishek Majumdar, a senior machine learning engineer based in Santa Clara, CA, with 8 years of experience building AI-driven products, scalable ML systems, and full-stack intelligent applications. I specialize in end-to-end AI solutions using Python, ML, Deep Learning, Generative AI, LLMs, NLP, and AI Agent architectures. I have a strong track record delivering production-grade platforms with backend frameworks, cloud infrastructure, model deployment, monitoring, and modern web technologies like JavaScript and TypeScript. I enjoy collaborating across teams to translate complex AI concepts into reliable, user-focused applications and leading technical initiatives that drive measurable impact.…Hi, I'm Abhishek Majumdar, a senior machine learning engineer based in Santa Clara, CA, with 8 years of experience building AI-driven products, scalable ML systems, and full-stack intelligent applications. I specialize in end-to-end AI solutions using Python, ML, Deep Learning, Generative AI, LLMs, NLP, and AI Agent architectures. I have a strong track record delivering production-grade platforms with backend frameworks, cloud infrastructure, model deployment, monitoring, and modern web technologies like JavaScript and TypeScript. I enjoy collaborating across teams to translate complex AI concepts into reliable, user-focused applications and leading technical initiatives that drive measurable impact.

Available to hire

Hi, I’m Abhishek Majumdar, a senior machine learning engineer based in Santa Clara, CA, with 8 years of experience building AI-driven products, scalable ML systems, and full-stack intelligent applications. I specialize in end-to-end AI solutions using Python, ML, Deep Learning, Generative AI, LLMs, NLP, and AI Agent architectures.

I have a strong track record delivering production-grade platforms with backend frameworks, cloud infrastructure, model deployment, monitoring, and modern web technologies like JavaScript and TypeScript. I enjoy collaborating across teams to translate complex AI concepts into reliable, user-focused applications and leading technical initiatives that drive measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Senior Machine Learning Engineer at Meta

April 1, 2025 - April 1, 2026

Led AI product development initiatives, building intelligent platforms with Python, PyTorch, TensorFlow, and Generative AI solutions to automate processes and improve efficiency by 35%. Designed end-to-end LLM and AI Agent workflows using RAG, embeddings, and vector databases, reducing response latency by 40%. Developed scalable backend services with Python, Django, FastAPI, and REST APIs to support millions of user interactions. Built production ML pipelines with Docker and Kubernetes, increasing deployment efficiency by 45%. Implemented advanced NLP and DL models for personalization, achieving measurable gains in model accuracy. Architected cloud-based AI systems on AWS and GCP with CI/CD, improving system reliability by 30%. Established monitoring frameworks with logging and model observability, reducing incidents by 25%. Integrated frontend technologies to deliver seamless AI-driven user experiences. Optimized data processing with SQL and ETL pipelines, trimming training prep time

Senior AI/ML Engineer - Tech Lead at Roku

July 1, 2021 - April 1, 2025

Owned AI/ML engineering projects delivering intelligent media solutions using Python, ML and DL architectures. Led development of AI-powered applications integrating LLMs, NLP, and recommendation systems, boosting user engagement by 30%. Built backend services with Python, Django, JavaScript, and TypeScript, enabling scalable application workflows. Developed and deployed ML models using TensorFlow and PyTorch, reducing release cycles by 40%. Created automated ML pipelines and CI/CD workflows to improve model delivery consistency across teams. Implemented RAG-based retrieval systems using embeddings and vector search for knowledge-driven applications. Improved production reliability through monitoring, cloud deployment, and proactive performance optimization. Designed data-driven solutions using feature engineering, SQL, APIs, and distributed processing. Mentored engineers on AI engineering practices, model deployment, and full-stack development standards. Partnered with product teams t

AI/ML Engineer at Stitch Fix

August 1, 2017 - July 1, 2021

Developed ML solutions using Python, Scikit-learn, and TensorFlow, improving recommendation accuracy by 25%. Built predictive models and NLP pipelines supporting intelligent product discovery and personalization features. Created backend APIs with Python, Django, REST frameworks, enabling reliable AI-powered application integration. Processed large datasets using SQL, Python, and ETL workflows, improving data preparation speed by 30%. Implemented model testing, evaluation, and deployment workflows, improving production model stability by 20%. Collaborated with engineering teams to build scalable ML applications and data-driven software solutions. Enhanced AI systems through feature engineering, automation, and performance optimization across multiple projects.