Suhas M L
Machine Learning enthusiast
Bangalore
Summary
Machine Learning Engineer skilled in Deep Learning, NLP, and Computer Vision with around a year of experience creating machine learning models, retraining systems and transforming data science prototypes to production-grade solutions. Consistently optimizing and improving real-time recommendation systems by evaluating strategies and testing changes. Consistently employing statistical methods and designs to yield real gains from model changes.
Overview
1
1
year of professional experience
4
4
Certificates
4
4
Internships
12
12
Projects
Work History
Web Developer Intern
EthicalByte
Bangalore
01.2023 - Current
- Developed user interfaces with modern JavaScript frameworks, HTML5 and CSS3.
- Worked closely with developers on creating new code.
- Pitched feature improvements to developer team for use in applications.
ML Intern
Feynn Labs
Bangalore
10.2022 - 12.2022
- Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
- Prototyped machine learning applications and quickly determined application viability.
Research Intern - ML
Madras Scientific Research Foundation
Bangalore
04.2022 - 06.2022
- Team Lead
- Conducted extensive research and drafted a proposal which was accepted
Iot & Computer Vision Intern
The Sparks Foundation
Bangalore
01.2022 - 02.2022
- Built various models including a student-score predictor, working on the iris dataset, optical character recognition model, and a social distancing model.
Projects
- Advanced Chat-bot using the skype online transcript which won us an award at the hackathon
- Potato Disease Identifier - Fully functioning web-app running on gcp server
- Image-caption generator.
- A single portal designed for farmers which contains Crop price prediction, crop recommendations and fertilizer recommendations.
- An AI-virtual assistant.
- Potato disease identifier - Mobile App
- Discord bot
- Many simple AI projects.
Skills
C/C
Accomplishments
- Secured 1st place in a hackathon conducted by PWwala in association with iNeuron-2023
- Published and presented a paper at the ICAC3N Conference, 2022.
- 3AI Student of the year 2022
- Secured 5th place in a hackathon conducted by iNeuron in collaboration with GitHub-2022.
Certification
Complete Machine Learning - DataCamp
Extra and Co-Curricular Activities
- Lead Technologist, The Turing Club
- Nvidia developer chapter lead, Jain University
- Unstop Lead Igniter, Jain University
- Machine Learning Facilitator, Google developer student club, JU-FET.
Education
Bachelor of Technology - Computer Science And Engineering, AI&ML
Jain University Bangalore
Bangalore,India 09.2020 - Current
Pre-University - Science
KLE Independent PU College
Bangalore, India 06.2018 - 06.2020
Timeline
Web Developer Intern
EthicalByte
01.2023 - Current
Fundamentals of Deep Learning-Instructors certification
11-2022
ML Intern
Feynn Labs
10.2022 - 12.2022
Fundamentals of Deep Learning-Nvidia
10-2022
Research Intern - ML
Madras Scientific Research Foundation
04.2022 - 06.2022
Iot & Computer Vision Intern
The Sparks Foundation
01.2022 - 02.2022
Bachelor of Technology - Computer Science And Engineering, AI&ML
Jain University Bangalore
09.2020 - Current
Pre-University - Science
KLE Independent PU College
06.2018 - 06.2020
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