Ravindra Kumar
Umeå
Summary
Driven and innovative Machine Learning Engineer with a proven track record in designing, implementing, and optimizing AI-driven solutions for real-world challenges. Skilled in cutting-edge techniques like deep learning, natural language processing, and reinforcement learning, I am passionate about harnessing the power of data to create transformative technologies. With a relentless focus on scalability, performance, and innovation, I aim to contribute to groundbreaking advancements in AI, delivering measurable value in fast-paced and dynamic environments.
Overview
11
11
years of professional experience
Work History
Research Engineer
Uppsala University
06.2022 - 04.2024
- Company Overview: ICM
- Designed and implemented an Active Learning-Based Conformal Predictor leveraging CatBoost and Python, improving the accuracy and efficiency of virtual screening for ultra-large-scale chemical libraries
- Automated the identification of ligands for target protein structures, reducing screening time by 40% and increasing precision in ligand selection
- Integrated advanced machine learning workflows with conformal prediction methods, optimizing the discovery pipeline for drug candidates
- Conducted experimental validations and collaborated with interdisciplinary teams to refine the predictive model for real-world applications
- ICM
- Contact: Jens Carlsson jens.carlsson@icm.uu.se
Visiting Scholar
Uppsala University
Uppsala
08.2022 - 06.2023
- Developed machine learning-boosted virtual screening workflows to identify potential ligands for IRAP (Insulin-Regulated Aminopeptidase)
- Leveraged deep message-passing neural networks (DMPNN) to enhance docking accuracy and enabling the efficient analysis of ultra-large-scale chemical libraries
- Conducted data preprocessing, model tuning, and performance evaluation to improve pipeline reliability for high-throughput ligand discovery
- Collaborated with interdisciplinary teams to integrate AI-driven methods into traditional drug discovery frameworks
- Documented findings and delivered insights to optimize the virtual screening process for future applications
- Contact: Christian Sköld (christian.skold@ilk.uu.se)
IT Analyst
National Project Implementation Unit
NCE Chandi
01.2018 - 03.2022
- Company Overview: Ministry Of Human Resource Development, India
- A unit of the Ministry of Human Resource Development of India work for technical educational quality improvement in the outskirts area public Engineering colleges
- Led the development of face recognition-based attendance software, reducing manual effort by 40% and improving accuracy
- Maintained and upgraded web platforms, enhancing user experience and supporting over 5,000 students
- Conducted training programs on AI, ML, and Python for over 200 students, fostering career-ready skills
- Coordinated final-year projects, guiding students in applying machine learning techniques to solve real-world problems
- Designed and implemented data pipelines for student performance analysis, enabling data-driven decision-making
- Ministry Of Human Resource Development, India
- Contact: Chandan Kumar +91- 6362588921, 7097963578
Software Developer and Engineer
Tapas Infrastructure Pvt. Limited
Patna
08.2013 - 06.2015
- Designed and developed a Java-based mobile payment application (PayUMoney), streamlining financial transactions for the company's buy-and-sell platform
- Managed the end-to-end lifecycle of payment applications, from development and deployment to maintenance, improving transaction reliability by 95%
- Conducted financial data analysis and system optimization, reducing processing delays by 90%
- Acted as a technical analyst, collaborating with cross-functional teams to ensure seamless integration of payment solutions with core business operations
- Enhanced application scalability and security to accommodate increasing transaction volumes
- Contact: Sanjeev Kumar +91 - 8298688054
Education
Masters - Artificial Intelligence
Umeå University
01.2025
Post Graduation Certification - AI and Machine Learning
International Institute of Information Technology, Bangalore
04.2021
M. Tech - Computer Science
Thapar Institute of Engineering and Technology
07.2017
B.Tech - Computer Science
Sant Longowal Institute of Engineering and Technology
07.2013
Skills
- Python
- Pandas
- Numpy
- Deep Learning
- NLP
- Reinforcement Learning
- AWS
- Git
- SQL
- Sklearn
- Linux
- Database Modeling
- Tensorflow
- Molecular Docking
- CI/CD Pipeline
- Pytorch
- Rdkit
- Docker
- Generative AI
Projects
1. Active learning based Conformal Predictor, 07/01/23, Present, Designed a machine learning-assisted system using CatBoost and active learning to enhance virtual screening for ultra-large chemical libraries., Improved screening efficiency by 40% and reduced false positives in compound selection., Retrieved high-confidence compounds with minimal docking scores, streamlining drug discovery workflows.
2. Machine Learning Assisted Virtual Screening of Ultra large scale chemical library, 08/01/22, 06/30/23, Developed a Deep Learning-based solution using DMPNN (Deep Message Passing Neural Network) to identify ligands for IRAP (Insulin-Regulated Aminopeptidase)., Successfully identified the IRAP inhibitor as a starting point for further drug discovery.
3. Credit Card Fraud Detection, Designed a machine learning pipeline using SMOTE and Random Forest to predict fraudulent transactions., Achieved a high model performance with an AUC score of 0.98, improving detection accuracy for banks and consumers.
Timeline
Visiting Scholar
Uppsala University
08.2022 - 06.2023
Research Engineer
Uppsala University
06.2022 - 04.2024
IT Analyst
National Project Implementation Unit
01.2018 - 03.2022
Software Developer and Engineer
Tapas Infrastructure Pvt. Limited
08.2013 - 06.2015
Masters - Artificial Intelligence
Umeå University
Post Graduation Certification - AI and Machine Learning
International Institute of Information Technology, Bangalore
M. Tech - Computer Science
Thapar Institute of Engineering and Technology
B.Tech - Computer Science
Sant Longowal Institute of Engineering and Technology
Similar Profiles
NAZANIN SAYADNAZANIN SAYAD
Research Assistant at Uppsala UniversityResearch Assistant at Uppsala University
Ganeshkumar PandiarajanGaneshkumar Pandiarajan
Research Assistant at Uppsala UniversityResearch Assistant at Uppsala University
Evgenii TikhomirovEvgenii Tikhomirov
Research Engineer at Uppsala UniversityResearch Engineer at Uppsala University
Jophiya JoyJophiya Joy
Online Nutritionist at Cureocity Health Tech LLPOnline Nutritionist at Cureocity Health Tech LLP
Ramy ShenoudaRamy Shenouda
Researcher / PhD Candidate at Umeå UniversityResearcher / PhD Candidate at Umeå University