Bishal Pal
@bishalpal
Full-stack developer and ML practitioner building scalable web services and predictive models.
What I'm looking for
I am a full-stack developer and machine learning practitioner with hands-on experience building scalable backend services with Node.js/Express and designing MongoDB schemas to optimize performance. I’ve developed RESTful APIs, optimized application performance, and solved 500+ data-structures and algorithms problems across LeetCode and CodeChef, demonstrating strong problem-solving skills.
I published a peer-reviewed IEEE paper on a Bi-Directional LSTM model for solar energy prediction, preprocessing large meteorological datasets and engineering features to improve forecasting accuracy. I value clean engineering, measurable impact, and continuous learning through projects and certifications in full-stack web development and data science.
Experience
Work history, roles, and key accomplishments
Machine Learning Researcher
Academic Research
Published a peer-reviewed IEEE paper on a Bi-Directional LSTM model for solar energy prediction, improving forecasting accuracy through engineered meteorological features and robust preprocessing.
Full Stack Developer
Personal Projects
Built a scalable online system builder platform with Node.js and Express, designing MongoDB schemas and RESTful APIs to improve query performance and application responsiveness.
Education
Degrees, certifications, and relevant coursework
Dr. B.C. Roy Engineering College
Bachelor of Technology, Electrical Engineering
2021 -
Grade: 7.88
Pursuing a Bachelor of Technology in Electrical Engineering with coursework and projects in software development and machine learning; CGPA 7.88 as of listed dates.
Guru Tegh Bahadur Public School
Senior Secondary Certificate, Senior Secondary (XII)
2020 - 2021
Grade: 86%
Completed Senior Secondary (Class XII) with an emphasis on science and achieved 86% aggregate.
Guru Tegh Bahadur Public School
Secondary School Certificate, Secondary (X)
2018 - 2019
Grade: 90.8%
Completed Secondary (Class X) with a 90.8% aggregate.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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