AI Engineer with less than a year in Machine Learning, NLP, and Generative AI.
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Assessing your cultural and operational fit
I am an aspiring AI & Data Engineer with a B.E. in Computer Science focused on Data Science, graduating in 2026. I have hands-on project experience with Python, machine learning, and NLP. I'm passionate about Generative AI, RAG pipelines, and agentic AI systems. I'm actively developing my skills in LangChain, LLM inferencing, and cloud-based architectures, seeking opportunities to contribute to impactful AI solutions.
St. John College of Engineering & Management
B.E. · Computer Science & Engineering (Data Science)
January 1, 2022 – May 1, 2026
Thomas Baptista Junior College
HSC · Science
January 1, 2021 – May 1, 2022
Loan Prediction & Financial NLP Suite
June 1, 2025 – July 1, 2025
Loan Prediction & Financial NLP Suite using Python, ML, NLP, and Streamlit Built a Loan Prediction model (78% accuracy) using financial attributes Implemented a Fraud Detection model (99.6% accuracy) using Random Forest Applied TF-IDF based NLP pipeline for sentiment analysis on 4,800+ financial news and social media sentences (76% accuracy) Deployed interactive Streamlit dashboard for model inference
Job Junction - Freelancer Analytics Platform
June 1, 2025 – July 1, 2025
Job Junction - Freelancer Analytics Platform using Python, Scikit-learn, and Streamlit Analysed freelancer and client activity data to uncover engagement patterns Performed rigorous data cleaning, EDA, and statistical analysis using Pandas and NumPy Built interactive Streamlit dashboards exposing key business metrics Identified actionable insights through DAG-style analytical workflows
Online Voting System - Data Analysis & Visualisation
June 1, 2025 – July 1, 2025
Online Voting System - Data Analysis & Visualisation using Python, Matplotlib, Seaborn Conducted exploratory data analysis on large voting datasets to identify trends Designed region-wise and temporal visualisations for reporting Improved data readability and documentation for non-technical stakeholders
Food Cart - Mobile Application Prototype
February 1, 2025 – March 1, 2025
Food Cart - Mobile Application Prototype using Flutter Developed a mobile application prototype for food ordering Demonstrated frontend development and rapid prototyping capability
Python - Data Science
I-Tech Computer Education
June 1, 2026 – Present
Machine Learning
I-Tech Computer Education
June 1, 2026 – Present
SQL - DataBaseManagement
I-Tech Computer Education
June 1, 2026 – Present
Statistics
I-Tech Computer Education
June 1, 2026 – Present
LLM
IT-ITES SSC Nasscom
June 1, 2026 – Present
PowerBi
I-Tech Computer Education
June 1, 2026 – Present
Advance Excel
I-Tech Computer Education
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong alignment with the target role of an AI Engineer, covering various aspects of data science, machine learning, and NLP. The breadth of skills listed (Python, ML, NLP, Streamlit, SQL, AWS, GCP, Docker) and certifications indicate a proactive approach to learning and a diverse technical interest. The focus on impactful AI solutions aligns well with an innovative and growth-oriented culture.
Soft Skills & Operational Fit
The candidate's involvement in national-level college fests focusing on technical and business initiatives suggests leadership potential, creativity, and a collaborative attitude. The ability to improve data readability for non-technical stakeholders indicates good communication skills. However, without direct work experience, operational fit and stress handling capabilities are yet to be fully assessed.