Bhanu Bhandari

Senior Software Engineer

Union City, California, United States3 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building high throughput APIs.
Strong background in AI and machine learning.
Experience in regulatory compliance and data engineering.

Stackforce AI infers this person is a Backend Engineer specializing in AI and Data Engineering.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Video GenerationData EngineeringApisFull Stack DevelopmentMachine Learning

Other Skills

ScalingNotificationsMessagingFeed RankingData ModelsHivePHPExtract, Transform, Load (ETL)JavaScriptPythonDatabasesShell ScriptingETLSystems DesignProgramming

About

Backend engineer at Meta Superintelligence Labs working on making your AI experiences smoother and more helpful. Prev: Product (backend) software engineer in a regulatory compliance (Privacy) team at Meta. Also at the intersection of Monetization/Ads and Privacy. Focus: data pipelines and high throughput APIs to guarantee privacy safety. Also dabbled in React and LLM training/inference. Languages: PHP (Hack), JavaScript, Python (Django/PyTorch/CPython), SQL, C++.

Experience

3 yrs 11 mos

Total Experience

3 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Rivian

Software Engineering Intern

Jun 2021 – Aug 2021 · 2 mos · Palo Alto, California, United States

Full stack vehicle diagnostics software development, in React, TypeScript and Python3. Developed and deployed critical full stack software components, including consumer-facing UX and firmware upgrades.

Systems DesignProgrammingArtificial Intelligence (AI)Data ModelsExtract, Transform, Load (ETL)HTML5+7

Mila - quebec artificial intelligence institute

Algorithms Developer Intern (ML)

Jan 2020 – Aug 2020 · 7 mos · Montreal, Canada Area

Worked on building graph neural networks to solve the node selection problem in MIP solvers.

ProgrammingData ModelsComputer ScienceTensorFlowKerasPython+3

Mercedes-benz research and development india

Student Researcher

Aug 2019 – Dec 2019 · 4 mos

Project at ROBITA Lab, IIIT Allahabad, in association with Mercedes Benz R&D India.
Working on augmenting existing Simultaneous Localisation and Mapping (SLAM) approaches (RTAB-MAP, S-PTAM) using Semantic Segmentation methods based on visual traffic data. Tasks included:
Collection of data
Developing a new dataset with multiple classes absent in SOTA datasets
Transfer learning on Mask R-CNN based on new data
Integration of Mask R-CNN into SLAM architectures

ProgrammingData ModelsComputer ScienceTensorFlowKerasPython+2

Bielefeld university

Machine Learning Research Intern

May 2019 – Aug 2019 · 3 mos · Bielefeld, North Rhine-Westphalia, Germany

Publication: "Learning a Latent Search Space in Routing Problems using Variational Autoencoders", accepted at ICLR 2021.
Built state-of-the-art neural network architectures to solve combinatorial optimization problems under the guidance of Prof. Dr. Kevin Tierney, Chair of Decision and Operation Technologies, University of Bielefeld.

ProgrammingData ModelsComputer ScienceTensorFlowKerasPython+2

Indian institute of information technology

Undergraduate Student Researcher

May 2018 – Jan 2019 · 8 mos · Allahabad Area, India

Developed a novel system for fusing multi-modal Deep Learning for Speech and Gesture-based inputs to control the NAO robot remotely, as well as on-site. Results in multi-modal accuracy of 76% beating all state of the art approaches for multi-modal recognition w.r.t the NAO robot.
Previously worked on developing an Outlier Detection model based on the Isolation Forest technique for detecting Black Hole attacks in a variety of Ad-Hoc Network scenarios, including Mobile Ad Hoc Networks and Vehicular Ad Hoc Networks.

ProgrammingData ModelsPython