
An Engineer with an avid interest in Generative AI and Large Language Models
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
News-Research-Tool-using-LLM
May 13, 2024 – June 17, 2024
News Research Tool using LLM (RAG implementation on unstructured web links)
View ProjectChatbot-using-Google-Gemini-Pro
February 23, 2024 – March 3, 2024
Chatbot using Google Gemini Pro
View ProjectRetrieval-Augmented-Generation-with-Llama-2
February 18, 2024 – March 22, 2024
Retrieval Augmented Generation with Llama-2-7B-Chat-GGML
View ProjectText-Generation-with-Llama2-GGML
February 10, 2024 – February 26, 2024
Text Generation with Llama2 GGML
View ProjectSentiment-Analysis-of-Movie-Reviews
September 8, 2023 – March 3, 2024
Sentiment Analysis of Movie Reviews having very long texts using Transformers
View Projectwatcho-app-recomendation-system
June 19, 2020 – June 19, 2020
A recommendation system for watcho app based on machine learning
View ProjectCrack-Detection
July 9, 2019 – July 9, 2019
Built on python, this repository contains the code for crack detection in concrete surfaces.
View ProjectSentiment-Analyser
June 26, 2019 – February 16, 2023
A simple sentiment analyser built on Aylien API.
View ProjectTwitter-Sentiment-Analysis
June 26, 2019 – September 23, 2023
Human Sentiment Analysis using Twitter Data
View ProjectCultural Fit Analysis
The candidate shows a strong initiative in self-learning and applying various data science techniques through personal projects. The diversity of projects, from crack detection to recommendation systems and LLM applications, suggests a broad interest within the data science domain. This aligns well with a culture that values continuous learning and practical application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.