Abhishek Jaiswal
@abhishekjaiswal1
Machine Learning Engineer specializing in MLOps and AI solutions.
What I'm looking for
I am a Machine Learning Engineer with a strong focus on MLOps and AI solutions, currently working at Deqode Labs. My journey in the tech world has been marked by significant achievements, including a 22% profitability increase in algorithmic trading through innovative transformer architectures. I thrive on challenges and continuously seek to push the boundaries of what's possible in machine learning.
My expertise extends to deploying large language models and optimizing MLOps pipelines, which has allowed me to reduce time-to-production from days to hours. I have successfully scaled inference systems to handle over 10,000 predictions per second while maintaining exceptional uptime. I am passionate about leveraging cutting-edge technologies to drive impactful results and improve operational efficiency.
As a Kaggle Expert in the top 5% globally, I have a proven track record of delivering high-quality projects that enhance decision-making processes. I am eager to contribute my skills and knowledge to innovative teams that value creativity and excellence in the field of machine learning.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Deqode Labs
Jan 2023 - Present (2 years 6 months)
Managed $2M+ algorithmic trading assets, increasing profitability by 22% using custom transformer architectures for time-series forecasting. Deployed an LLM-powered trading assistant, improving prediction accuracy by 31% for real-time market analysis.
Education
Degrees, certifications, and relevant coursework
Lakshmi Narain College of Technology
B.Tech in Computer Science and Engineering, Computer Science and Engineering
Grade: 8.8/10
Activities and societies: Relevant Coursework: Machine Learning, Deep Learning, Data Structures, Algorithms, Statistics.
Completed a Bachelor of Technology in Computer Science and Engineering with a strong academic record. Focused on core computer science principles and advanced topics in machine learning and deep learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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