Abhishek Garg — Software Engineer
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.
Stackforce AI infers this person is a Data Science and Machine Learning specialist with a focus on software development and AI solutions.
Location: Noida, Uttar Pradesh, India
Experience: 2 yrs 10 mos
Skills
- Software Development
- Machine Learning
- Data Visualization
- Aws
- Data Analysis
- Deep Learning
- Android Development
- Computer Vision
Career 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.
Work Experience
S&P Global
Software Development Engineer II (7 mos)
Associate Engineer | Machine Learning (2 yrs 3 mos)
Software Engineer Intern (4 mos)
ERA Interfaces
Deep Learning and Android Development (3 mos)
Verzeo
Machine learning (2 mos)
Education
Bachelor of Technology - BTech at GLA University