LLM Research Engineer | LLMs | Deep Learning | Transformers | NLP
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TII
Data Scientist
June 27, 2026 – Present
Illustrated_llama_with_code
June 23, 2026 – Present
Illustrated_llama_with_code — GitHub repository
View ProjectminiLLAMA
July 24, 2023 – July 9, 2025
A simplified LLAMA implementation for training and inference tasks.
View ProjectminGPTF
January 7, 2023 – January 10, 2023
A TF re-implementation of the Karpathy's minGPT (Generative Pretrained Transformer) training
View Projectembedding-visualizer
August 12, 2021 – August 15, 2021
Word and Position Embedding visualization of all pre-trained transformer models like BERT
View Projectuniversal-transformer-tf2.0
May 16, 2020 – September 12, 2020
universal-transformer-tf2.0 — GitHub repository
View Projectranknet-tensorflow2.0
April 18, 2020 – March 25, 2023
Implementation of RankNet to LambdaRank in TensorFlow 2.0
View ProjectIllustrated_GPT2_With_Code
March 15, 2020 – May 8, 2020
Explained GPT-2 Transformer model step by step with code.
View Projectgpt-2-tensorflow2.0
August 24, 2019 – March 25, 2023
OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0
View ProjectPhrase_Extraction_Bi-LSTM
December 12, 2017 – December 12, 2017
Phrase Extraction using Bi Directional LSTM
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on deep learning and NLP, specifically transformer models and LLMs. While this demonstrates deep expertise in a niche, the lack of diversity in project types (e.g., traditional machine learning, data engineering, MLOps, business intelligence) suggests a potentially narrow scope of experience. The candidate's current role as a Data Scientist aligns with the target role, but the breadth of experience beyond personal projects is not detailed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.