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Registration: 27.06.2025

Alin Lalu

Specialization: AI Researcher / Machine Learning Engineer
— AI Researcher and Machine Learning Engineer specializing in multimodal reasoning and generative AI systems. — Proficient in developing and optimizing deep learning models using Python, PyTorch, and TensorFlow. — Experienced in mathematical reasoning, computer vision, and NLP with a strong foundation in statistical analysis and algorithm design. — Demonstrated success in research internships and technical implementations with quantifiable performance improvements.
Computer Vision Machine Learning Tensorflow PyTorch AI NLP Python
— AI Researcher and Machine Learning Engineer specializing in multimodal reasoning and generative AI systems. — Proficient in developing and optimizing deep learning models using Python, PyTorch, and TensorFlow. — Experienced in mathematical reasoning, computer vision, and NLP with a strong foundation in statistical analysis and algorithm design. — Demonstrated success in research internships and technical implementations with quantifiable performance improvements.
Computer Vision Machine Learning Tensorflow PyTorch AI NLP Python

Skills

Python
R
SQL
C++
Multimodal Reasoning
Mathematical Reasoning
Generative AI
Symbolic AI
Deep Learning
Reinforcement Learning
NLP
Computer Vision
Model Optimization
PyTorch
TensorFlow
Hugging Face Transformers
Scikit-learn
Keras
OpenCV
Statistical Modeling
Hypothesis Testing
EDA
Data Wrangling
AWS
Azure
Docker
FastAPI
MLflow
Git
Linux
LaTeX
Power BI
Tableau
Linear Algebra
Calculus
Probability
Discrete Mathematics

Work experience

AI Researcher
since 06.2025 - Till the present day |CortexTor Labs
Symbolic AI
● Researching multimodal logical reasoning systems integrating vision, language, and symbolic representations. ● Developing transformer-based architectures for mathematical theorem proving and reasoning tasks. ● Implementing evaluation frameworks for assessing reasoning capabilities in large language models. ● Collaborating with research team to publish findings in peer-reviewed conferences.
Machine Learning Engineer
08.2024 - 09.2024 |Atharvo India
Deep learning, EDA, Machine learning, AI
● Developed and optimized machine learning models using supervised and unsupervised learning techniques, improving accuracy by 15. ● Conducted data collection, profiling, and EDA to prepare datasets for model training. ● Implemented deep learning models for classification and regression tasks, reducing processing time by 20. ● Collaborated with cross-functional teams to integrate AI solutions into existing systems.

Educational background

Artificial Intelligence and Data Science (Bachelor’s Degree)
2021 - 2025
Royal College of Engineering and Technology

Languages

EnglishProficientMalayalamNative