Abhijith C
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Staff MLE @ Target | Driving ML Platforms & Personalization Systems | RecSys at Scale | MLOps
I’m a Staff-level Machine Learning Engineer working on large-scale personalization systems and ML platforms. At Target, I focus on driving architecture and standardization of ML systems, including core personalization and decisioning systems like Next Best Action (NBA) and org-wide MLOps convergence efforts. My work involves aligning teams on scalable patterns for building, deploying, and operating ML systems on GCP. Previously, I built real-time recommendation systems at InMobi/Glance serving 100M+ users, spanning ranking, bandits, and low-latency serving systems. I’m particularly interested in how ML systems evolve from individual solutions into shared platforms — enabling teams to move faster while maintaining reliability and consistency. I enjoy working at the intersection of: • Personalization & Recommendation Systems • ML Platforms & MLOps • Distributed Systems & Real-time Infrastructure Happy to connect on ML systems, platform design, and scaling ML in production. I also enjoy mentoring and sharing insights on ML engineering careers and programs like OMSCS — feel free to reach out.
Georgia Institute of Technology
Master of Science - MS, Computer Science
January 1, 2022 – May 1, 2024
Sir M Visvesvaraya Institute Of Technology
Bachelor of Engineering (B.E.), Computer Science
January 1, 2014 – January 1, 2018
Kendriya Vidyalaya
12th, Computer Science
January 1, 2002 – January 1, 2014
Target
Lead AI Engineer (Staff MLE Scope)
May 1, 2024 – Present
Bengaluru, Karnataka, India · Hybrid
Glance
Staff Machine Learning Engineer 1
January 1, 2024 – May 1, 2024
Glance
Machine Learning Engineer 3
January 1, 2021 – January 1, 2024
Glance
Data Scientist 2
October 1, 2019 – January 1, 2021
Glance
Data Scientist
August 1, 2019 – October 1, 2019
InMobi
Research Analyst
July 1, 2018 – July 1, 2019
Bengaluru Area, India
InMobi
Data Science Intern
February 1, 2018 – June 1, 2018
Bengaluru Area, India
Bosch Engineering and Business Solutions
Machine Learning Intern
August 1, 2017 – November 1, 2017
Bengaluru, Karnataka, India
Python Software Foundation
Google Summer of Code 2017 Participant
May 1, 2017 – September 1, 2017
Bengaluru Area, India
Indian Institute of Science (IISc)
Project Intern
January 1, 2017 – February 1, 2017
Bengaluru, Karnataka, India
FreeCharge
Engineering Intern - DevOps
July 1, 2016 – September 1, 2016
Bangalore
DoSelect
Problem Setter
May 1, 2016 – May 1, 2017
Bengaluru, Karnataka, India
HackerEarth
Problem Setter
January 1, 2016 – May 1, 2017
Bengaluru Area, India
Grinions
Software Development Intern
January 1, 2016 – March 1, 2016
Bangalore
Supertext
Software Development Intern
September 1, 2015 – December 1, 2015
Bengaluru
Textify
February 1, 2017 – Present
OCR Android application to extract text from images
GoChat
January 1, 2017 – Present
Linux terminal chat application
VTU Result Analyser
September 1, 2016 – Present
- Python Flask project to view VTU results in a structured way. - Using Mongo DB to store data locally. - Different ranking views and Analysis provided.
Listview-Snapshot (Android Library)
July 1, 2016 – Present
Use this library to convert any listview into a image (Snapshot) and store it anywhere in your phone.
Carbon Contacts
June 1, 2016 – Present
An Android application that detects duplicate contact entries in your phone and lets you delete them. - Involved in the overall development of the application. - Built using Android Studio.
Design and Development of Website for notNULL Media LLP
March 1, 2016 – Present
- Official website of notNULL Media LLP. - Contributed to the overall look and feel of website. Also contributed to development of Blog Engine. - Used Meteor stack for the development of the website. Hosted with the help of Amazon Web Services.
Souffleur
January 1, 2016 – Present
- A smart speech assistant that prompts the right thing at the right time. - Contributed to the overall development. - Used google Text-to-Speech Apis Built at the Under 25 Hack(9th and 10th January 2016) at NUMA Bangalore. Team: Bow Shark
AuReader
July 1, 2015 – Present
- An immersive Ebook reader app that plays music matching to the current emotion on the page. - Contributed in incorporating the Emotion detection engine into the project and for the music playback. - Used Android Studio and emotion detection library - synesketch. Built at HackIndia 2015(18th and 19th July) at PESIT, Bangalore. Team: Obsidian
Google Cloud Platform Fundamentals: Core Infrastructure
Coursera
June 24, 2026 – Present
Android Developer Nanodegree
Udacity
June 24, 2026 – Present
Open Water Diver
PADI
June 24, 2026 – Present
Google Cloud Platform Big Data and Machine Learning Fundamentals
Coursera
June 24, 2026 – Present
DevOps for Data Scientists
June 24, 2026 – Present
Computer Science with Android
June 24, 2026 – Present
Deep Learning: Face Recognition
June 24, 2026 – Present
Applied Machine Learning: Algorithms
June 24, 2026 – Present
ICPCID
ICPC - International Collegiate Programming Contest
June 24, 2026 – Present
2015 Asia Chennai First Round Online Programming Contest
ACM International Collegiate Programming Contest
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from personal Android apps to hackathon contributions, demonstrates a broad interest in technology and a proactive learning attitude. Their progression through various ML-focused roles at Glance and Target, coupled with academic pursuits, indicates a strong alignment with innovation and continuous improvement. The breadth of skills and leadership roles suggest a good fit for dynamic, high-growth environments.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, mentoring, and collaboration with MLOps and engineering teams, indicating strong operational fit and soft skills for a senior role. Their involvement in defining 'Golden Paths' and influencing platform design suggests a proactive and strategic mindset.