AI Engineer with less than a year in Python, backend development & machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a Computer Science student with hands-on experience in Python-based backend development, skilled in building APIs and working with databases. I am also exploring AI/ML, with a keen interest in applying machine learning techniques to solve real-world problems.
LJ University
B.Eng · Computer Science And Technology
August 1, 2023 – June 30, 2027
SkillMatch AI - Intelligent Resume Evaluator
January 1, 2026 – January 1, 2026
Developed a multi-agent resume evaluation system using LangChain and LangGraph to analyze resume-job compatibility through autonomous agents for parsing, job requirement extraction, and semantic skill matching. Implemented RAG with vector embeddings to identify skill gaps, compute job-fit scores, and generate context-aware career improvement recommendations. Built an end-to-end Python and FastAPI pipeline enabling automated resume screening, missing competency detection, and personalized guidance based on LLM reasoning and knowledge retrieval.
AI News Summarizer Workflow
December 1, 2025 – December 1, 2025
Developed an AI-powered news summarization workflow using n8n to collect news from multiple sources (e.g. RSS Feeds, News API), where duplicate news are filtered to avoid repeated content. Automated daily scheduled summaries and stored structured results directly in Notion using its API. Designed scalable workflows with data processing, content filtering, and error handling for reliable automation.
NetPulse - Smart Internet Sentiment Tracker For Brands
June 1, 2025 – June 1, 2025
Built an AI-driven brand sentiment intelligence platform aggregating real-time keyword mentions from Reddit, News APIs, and RSS feeds using automated ingestion pipelines and background workers. Implemented NLP-based sentiment and emotion analysis using Transformers and VADER to classify public perception trends and brand reputation signals across social and media sources.
Digital Store (E-Commerce Platform)
June 1, 2024 – June 1, 2024
Designed and implemented a Java-based digital store system to manage product listings, customers, and billing operations with database connectivity. Integrated JDBC with MySQL for CRUD operations, shopping cart management, and secure transaction handling.
Introduction to Java
Learn Quest
June 1, 2026 – Present
Exploratory Data Analysis for Machine Learning
IBM
June 1, 2026 – Present
Inheritance and Data Structures in Java
University of Pennsylvania
June 1, 2026 – Present
Introduction to HTML, CSS, & JavaScript
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying AI/ML to solve real-world problems, aligning well with an AI Engineer role. The diversity of projects, from news summarization to resume evaluation and sentiment tracking, shows a broad curiosity and willingness to explore different domains. The candidate's academic background and certifications indicate a commitment to continuous learning. However, as an undergraduate with no professional experience, the cultural fit assessment is primarily based on project alignment and demonstrated technical initiative.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving mindset, with a focus on building practical applications. The detailed descriptions suggest good organizational skills and an ability to articulate technical solutions. However, without direct interview data or psychometric test results, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity in a collaborative environment is limited. The candidate is currently an undergraduate student, which implies a strong learning curve and adaptability.