I like breaking stuff and building stuff
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-Interviewer
March 26, 2025 – March 26, 2025
An application that simulates an AI interviewer using TTS, STT, and LLMs for dynamic questioning and candidate evaluation. Integrated LiveKit SDK for real-time voice interaction and orchestrated AI-driven follow-up questions based on responses.
View ProjectAI-Research-Article-Database
August 6, 2024 – August 6, 2024
Scrapping Research articles from avrix and filtering them according to citations and dates
View ProjectPhi-3-RAG-
August 6, 2024 – August 6, 2024
Used Phi-3 LLM with LangChain for orchestration and DeepLake for nearest vector search, achieving high efficiency without model fine-tuning.
View ProjectModel-Combat
August 6, 2024 – August 6, 2024
DPO using human Votes, Model Combat is an application that compares responses from five different AI models based on user inputs. Users can vote on which model gives a better response or remark on the responses. The results are saved in Google Sheets for further analysis.
View ProjectData-Engineering-Projects
November 24, 2023 – November 24, 2023
I have done a few Data Engineering Projects and gained some practice on working with APIs and Working on platforms such as Google BigQuery, Airflow/EC2, Amazon Web Services (AWS), Apache Kafka, Glue, Athena and SQL quires and Building Dashboards
View ProjectHandwritten-Image
November 24, 2023 – November 24, 2023
I Have Built a Neural Network to Analyze Handwritten Digits and Predict the Number
View ProjectAmazon-Review-Sentiment-Analysis
November 24, 2023 – November 24, 2023
I Have Done a sentiment analysis for Amazon Reviews
View ProjectData-Science-Projects
November 24, 2023 – November 24, 2023
I've Done a list a Projects that mainly uses several popular ML algorithms and represents techniques for Data Analysis using Python
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and data science. The diversity of projects, from sentiment analysis to LLM applications and data engineering, suggests a broad curiosity and willingness to explore different areas within the field. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, but there is no information on teamwork, communication, or problem-solving in a professional setting.