🌟 AI/ML Engineer | NLP & Generative AI | Applied Research Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pga41_rag
May 27, 2026 – Present
This is the sample project that i am doing to showcase and demo the rag pipeline
View Projectakilan
March 12, 2026 – Present
AKILAN (Adaptive Knowledge Ingestion Layer for Analytics Nodes) is a Python wrapper around PyMuPDF designed for structured document ingestion, metadata extraction, and AI-ready document processing pipelines.
View ProjectRAG-Tutorials
August 4, 2024 – August 4, 2024
The repo contains all the details and codes for understanding and implementing RAG
View ProjectMADS
June 5, 2023 – June 5, 2023
MADS is a comprehensive NLP learning repository on GitHub. Master NLP concepts, techniques, and applications with code examples and curated resources. Join us on this exciting learning journey!
View ProjectPandas-Tutorial
January 28, 2023 – January 28, 2023
The repo contains all the details required to master python library pandas. All the datas used for the explaination is included in the same repo. Happy Learning
View Projectmodel-deployment-template
August 3, 2022 – August 3, 2022
The repository contains the flask api template for machine learning model deployment
View ProjectHadoop-Installation
January 10, 2022 – January 10, 2022
The repo contains the steps for setting up the single node cluster in Hadoop 3.2.1 in Ubuntu 20.04 LTS
View ProjectPortuguese-Bank-Marketing
February 5, 2021 – February 5, 2021
The project aims to analyze the Portuguese Bank Marketing dataset and predict weather the client will subscribed to the term deposit.
View ProjectDisease-Detection-based-on-symptoms
February 5, 2021 – February 5, 2021
Machine Learning Projects
View ProjectCultural Fit Analysis
The candidate's projects are all personal and primarily focus on Machine Learning, NLP, and data analysis. While this aligns with an 'Applied Research Scientist' role, the lack of team projects, diverse domain experience, or contributions to open-source beyond personal tutorials limits the assessment of cultural fit and collaborative potential. The projects indicate a self-starter attitude but do not provide insight into working within a structured research environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on collaboration or problem-solving approaches.