Manav Kedia

CEO

Menlo Park, California, United States9 yrs 3 mos experience

Highly Stable

Key Highlights

Led Signal Growth Optimizations at Instagram Ads.
Expert in Machine Learning and Software Development.
Innovative projects in Computer Vision and Virtual Reality.

Stackforce AI infers this person is a Software Engineer with expertise in Media & Entertainment and advanced technical skills.

Contact

Skills

Core Skills

Computer VisionVirtual RealityJavaImage ProcessingDeep LearningWeb Development

Other Skills

Sound SpatializationChrome Extension DevelopmentAPI DevelopmentVideo ProcessingAndroid DevelopmentEiffelRESTful APIMachine LearningAlgorithmsSoftware DevelopmentiOS DevelopmentC++CPythonAngularJS

About

Senior Staff software Engineer working in Instagram Ads Ranking team leading Signal Growth Optimizations and Click Ranking Optimizations.

Experience

9 yrs 3 mos

Total Experience

3 yrs

Average Tenure

5 mos

Current Experience

Cuepilot ai

Cofounder & CTO

Dec 2025 – Present · 5 mos

Instagram

4 roles

Senior Staff Software Engineer

Promoted

Jan 2024 – Dec 2025 · 1 yr 11 mos

Staff Software Engineer

Jan 2021 – Dec 2023 · 2 yrs 11 mos

Senior Software Engineer

Promoted

Jul 2019 – Dec 2020 · 1 yr 5 mos

Software Engineer

Mar 2018 – Jun 2019 · 1 yr 3 mos

Facebook

Software Engineer Internship

May 2017 – Aug 2017 · 3 mos · Menlo Park

Worked on a project involving computer vision and virtual reality for 360 videos. The project revolutionizes the way 360 and VR content creators spatialize sound

University of illinois at urbana-champaign

2 roles

Graduate Teaching Assistant

Aug 2016 – Dec 2017 · 1 yr 4 mos · Urbana-Champaign Area

Teaching Assistant for the course CS125 Intro to Computer Science

Graduate Teaching Assistant

Aug 2016 – Dec 2016 · 4 mos · Urbana-Champaign Area

TA for the course CS 440 Artificial Intelligence

Codenation

Intern

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

Found false positives in several good practises of coding in Java and re-implemented the rules from scratch
Built a chrome extension to receive userfeedback and update the database
Built an API for JavaParserto visit different elements of the AST

Adobe

Research Intern

May 2015 – Jul 2015 · 2 mos · Bengaluru, Karnataka, India

Carried out feature extraction with state-of-the-art image and video processing techniques and deep
learning.
Collected the ground truth by a crowdsourced test on Amazon MTurk, via a MEAN stack survey web app developed in-house.
Applied machine learning models to estimate key parameters.
Deployed a prototype in the form of an Android app to exemplify the utility of the idea

Eth zurich

Intern

May 2014 – Jul 2014 · 2 mos · Zurich, Switzerland

Implemented a standalone web server in Eiffel using Eiffel Web Framework. The web server provided the functionalities of the Eiffel Compiler to web-users and web applications through RESTful HTTP API methods.
Designed the frontend in AngularJS, HTML and CSS.