Hello, my name is

Rajat Goel

Software Engineer

About me

I am an experienced software engineer with over 6 years of expertise in back-end development, specializing in AI and Machine Learning.

I create innovative tech solutions

With years of experience in software design and development, I have mastered the skills of understanding the technical requirements and translating them into executable engineering tasks. I have worked with various tech companies like IBM, Google, Autodesk having different scales and organizational structures and have contributed significantly to their products and data pipelines so you can rely on my diverse technical skillset.

I am also knowledgeable and have hand-on experience on the latest trends in AI and Machine Learning. With my contributions to ML models for ads bidding optimization at Google to my current work on audio and speech processing for AI voice agent at IBM, I am adept at leveraging cutting-edge AI frameworks from Hugging Face and OpenAI’s APIs to LangChains and Google’s Gemini models. With me, you’ll get a unique combination of expertise in AI and software development.

Education

2016-2018

MS Computer Science
Los Angeles, USA

University of Southern California

Coursework: Analysis of Algorithms, Networked AI, Information Retrieval, Deep Learning

2012-2016

B.Tech. Computer Engineering
Aligarh, India

Aligarh Muslim University

Coursework: Algorithms & Data Structures, Web Mining & Search Engines, Database Systems, Compilers

Skills

Python
85%
C++
95%
SQL
80%
Machine Learning / AI
85%

Experience

2023-Present

Senior Software Engineer
San Jose, USA

IBM

Developing and maintaining Python core services and frameworks for NLP based Voice Agent application. Designing and architecting Audio and Speech Recognition microservices, leading refactoring and optimization.

2021-2023

Software Engineer III
Mountain View, USA

Google

Scaled model training pipelines for a $1B ad-product through deterministic downsampling of training data. Saved training resource cost by >50%. Engineered prediction and bidding modeling pipelines to ensure no spend in cold start issues for ad campaigns saving $1M in revenue. Deployed on Borg (Kubernetes).

2018-2021

Senior Software Engineer
San Francisco, USA

Autodesk

Led a team of 4 on an ML project to automate asset creation using Python libraries and AWS ML services. Implemented native command framework in multi-threaded modern C++ code for >30% performance latency reduction.

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