Vinayakk Garg

Software Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Gold medalist in Machine Learning at BRICS 2022.
Expert in AI and machine learning with diverse data types.
Proven track record in delivering data-driven insights.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning within the Tech industry.

Contact

vinayakk.garg99@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringMachine LearningData AnalysisComputer Vision

Other Skills

AlgorithmsApache SparkArtificial IntelligenceArtificial Neural NetworksAutonomous VehiclesBootstrapC++Cascading Style Sheets (CSS)Computer ScienceContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Data PipelinesData ScienceData StructuresDatabases

About

Data Scientist with expertise in AI and machine learning, currently driving actionable insights at Akamai Technologies, the world's leading Content Delivery Network. Gold medalist representing India in the Machine Learning and Big Data category at BRICS 2022. I hold a Master's in Computer Science specializing in AI/ML from IIIT Bangalore. Throughout my career at organizations including Spyne.ai, IIT Delhi, Deeprooted, and Suez, I've demonstrated versatility working with diverse data types—structured data, natural language, images, and videos. I excel in building projects end-to-end, from data engineering through model development to MLOps deployment. As a full-remote professional, I've developed deep expertise in machine learning, deep learning, Python, PyTorch, Transformers, TRL, Git, and Docker. I thrive at the intersection of data science, data engineering, and applied research, consistently delivering solutions that translate complex data into business value. My passion lies in leveraging cutting-edge AI technologies to solve meaningful problems and drive innovation.

Experience

Akamai technologies

3 roles

Senior Software Engineer

Promoted

Oct 2025 – Present · 5 mos

Software Engineer 2

Aug 2023 – Oct 2025 · 2 yrs 2 mos

Developed a custom data pipeline from scratch, utilizing Jenkins for dynamic task orchestration and an ETL approach for efficient log processing, to analyze Akamai server logs and identify root causes of out-of-memory errors.
Engineered parallel log collection and an optimized log parser package, facilitating data-driven insights for targeted resolution of server issues, significantly improving server stability and reducing restarts.

PythonData AnalysisLog AnalysisPandasJenkinsData Engineering+3

Software Engineer Intern

Jan 2023 – Jul 2023 · 6 mos

Engineered a time-series clustering analysis using Python and PySpark on Azure Databricks to analyze global Akamai servers’ data, identifying server resource inefficiencies.
Delivered actionable insights through advanced data analytics, enabling stakeholders to optimize server performance and resource management by addressing the causes of inefficiencies identified in clustered servers.

Machine LearningDeep LearningPython (Programming Language)Feature EngineeringData Analysis

Deep rooted.co

Data Engineer Intern

Sep 2022 – Oct 2022 · 1 mo · Bengaluru, Karnataka, India

- Implemented a sophisticated automation system for daily data extraction from multiple databases, applying exploratory data analysis(EDA) for insightful reporting on inventory and strategy, and streamlining delivery via email, with enhanced query speed through DB cursor optimization.

PythonPandasData EngineeringDatabasesSimple Mail Transfer Protocol (SMTP)Data Analysis

Akamai technologies

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

Setting up distributed file system using Hadoop
Setting up distributed computing framework using Apache Spark
Utilised Docker Swarm and YARN to setup Spark
Compare the performance of Spark on YARN vs local machine

PySparkMachine LearningApache SparkPython (Programming Language)HadoopData Engineering

Spyne

Computer Vision Intern

Nov 2021 – Mar 2022 · 4 mos · Remote

Implemented virtual try-on and product customization techniques utilizing thin-plate spline transformations for realistic apparel and home decor imagery by superimposing fabric patterns onto base models.
Advanced image completion and correction through generative adversarial networks (GANs) for outpainting/inpainting tasks, and implemented salient object detection for accurate number plate recognition, incorporating research methodologies for optimal results.

Computer VisionMachine LearningDeep LearningPython (Programming Language)Convolutional Neural Networks (CNN)Research

Indian institute of technology, delhi

Research Intern

May 2020 – Aug 2020 · 3 mos · Delhi, India

Research Intern in the DLive(Self Driving Car) team at IITD.
Developed and tested a visual perception model for lane detection, adapting existing research to our dataset and verifying robustness through NVIDIA’s CARLA simulator, culminating in a detailed comparative study of models

Computer VisionMachine LearningDeep LearningPython (Programming Language)Research

Google code-in

Mentor @Tensorflow

Dec 2019 – Jan 2020 · 1 mo

Mentored and motivated high-school students to contribute to Google’s open-source machine learning library Tensorflow by creating and judging tasks.

Machine LearningDeep LearningPython (Programming Language)

Suez

Software Development Intern

Jun 2019 – Jul 2019 · 1 mo · Gurgaon, Haryana, India

Web-based utility tool to facilitate studying of pipeline diagrams and to pinpoint pipeline networks in real-time by O&M teams.
Used LeafletJS library to create overlays on a geographical region.
Utilised Geoserver to host and fetch data.
Implemented Voice feedback and Live Location feature.
Successfully hosted the application on the company’s local server for practical usage and testing.