Abhishek Garg

Software Engineer

Noida, Uttar Pradesh, India2 yrs 10 mos experience
AI EnabledHighly Stable

Key Highlights

  • Reduced processing time by over 90% using AWS Lambda.
  • Published two research papers in IEEE on advanced topics.
  • Developed innovative applications integrating deep learning techniques.
Stackforce AI infers this person is a Data Science and Machine Learning specialist with a focus on software development and AI solutions.

Contact

Skills

Core Skills

Software DevelopmentMachine LearningData VisualizationAwsData AnalysisDeep LearningAndroid DevelopmentComputer Vision

Other Skills

Python (Programming Language)VisualizationAmazon Web Services (AWS)Data AnalyticsImage ProcessingOpen-CVAgenticAIDartAmazon Relational Database Service (RDS)MCPModel Context ProtocolGenerative AILarge Language ModelsStock Market AnalysisAWS Bedrock

About

Hi, I'm Abhishek Garg, a Software Engineer at S&P Global with a deep passion for Data Science and Machine Learning. My journey in the tech world has been driven by a strong commitment to solving complex problems through a blend of data exploration, innovative technologies, and a collaborative, solution-oriented mindset. In my role at S&P Global, I've successfully designed and implemented AWS Lambda functions to streamline operations, reducing processing time by over 90%. My work on anomaly detection in client trades and enhancing time series forecasting models has driven significant improvements in accuracy and reliability, demonstrating my ability to deliver impactful data-driven solutions. Leveraging tools like SQL, Snowflake, and AWS services, I ensure that data is not only accurate but also actionable, helping businesses make informed decisions. In addition to my professional experience, I've undertaken extensive research, resulting in the publication of two research papers in IEEE, focusing on Feature Selection and Sarcasm Detection. My academic background in Artificial Intelligence and Machine Learning has equipped me with the skills to build and deploy complex models, including CNNs, LSTMs, and Transformers. Lately, I've been exploring text generation and large language models (LLMs), fascinated by their potential to transform natural language processing tasks and drive new applications in AI. My personal projects reflect my commitment to continuous learning and innovation. I’ve developed a Flutter-based Fruit Finder application, utilizing CNN and Flask to achieve 85% classification accuracy, and an Image Caption Generator that integrates advanced deep learning techniques like Teacher Forcing and Attention Mechanism. Beyond my technical skills, I believe in the power of effective communication, teamwork, and adaptability. These soft skills have been pivotal in leading cross-functional projects and collaborating with diverse teams to achieve common goals. My ability to translate complex data insights into clear, actionable strategies has earned me recognition for driving efficiency and innovation. I thrive in environments that challenge me to think critically and creatively, whether it’s automating processes, enhancing data accuracy, or developing user-centric applications. My goal is to leverage my expertise in data science, software development, and emerging technologies like LLMs to contribute to meaningful projects that drive business success and technological advancement.

Experience

2 yrs 10 mos
Total Experience
2 yrs 10 mos
Average Tenure
2 yrs 10 mos
Current Experience

S&p global

3 roles

Software Development Engineer II

Oct 2025Present · 7 mos · Noida, Uttar Pradesh, India · Hybrid

Python (Programming Language)Machine LearningSoftware Development

Associate Engineer | Machine Learning

Jul 2023Oct 2025 · 2 yrs 3 mos · Noida, Uttar Pradesh, India · Hybrid

VisualizationAmazon Web Services (AWS)Data VisualizationAWS

Software Engineer Intern

May 2022Sep 2022 · 4 mos · Noida, Uttar Pradesh, India

  • Enhanced the Existing Forecasting model and improved the results by more than 80%.
  • Automate the process of finding the volatile indices for case studies.
  • Extend the research of the Data Analysis Team by applying Machine Learning methods which increased the results to 77%.
  • Collected data from the servers using REST APIs for Intraday Trading. And then analyzed the whole data based on different markets, regions, and multiple stocks.
Data AnalyticsDeep LearningData AnalysisMachine Learning

Era interfaces

Deep Learning and Android Development

Apr 2021Jul 2021 · 3 mos

  • Managed a team of five to develop the Image Caption Generator Android application.
  • The project consisted of more than 80K images accompanied by 400K+ captions.
  • Model training and deployment were performed using AWS services such as EC2, S3 Bucket, and
  • Sagemaker.
  • APIs were created using Python Flask to retrieve the image's caption generated by the model.
  • This is a project-based internship. Our project name is Image Caption Generator App. The dataset used to train the model is the MS-COCO dataset. The dataset contains over 82000 images, each of which has at least 5 different caption annotations. In this project, we used Deep learning algorithms to create the model. We also develop an android application which then we integrate with our deep learning model using AWS. The app takes an input image either using the camera or from the gallery. Then it will redirect to generator page which will generate a caption as an output that describes that image.
Deep LearningImage ProcessingAndroid Development

Verzeo

Machine learning

Jun 2020Aug 2020 · 2 mos

  • Learn about different Machine Learning Algorithms and Data Preprocessing steps by doing by implementing techniques on multiple Datasets
  • Project1: Detect all moving vehicles is given video using Open-CV
  • Project2: Face Mask Detection with a webcam using Deep Learning and Open-CV
Computer VisionVisualizationMachine Learning

Education

GLA University

Bachelor of Technology - BTech — Artificial Intelligence and Machine Learning

Jan 2019Jan 2023

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