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Full Stack Engineer with less than a year in Python, React & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science and Engineering (AI) student with a strong foundation in full-stack development (React, Node.js, Django, Supabase) and AI/ML technologies (OpenAI GPT-4, Scikit-learn). Possessing 8 months of internship experience as a Python Instructor and a portfolio of impactful projects like a real-time AI assistant and a flight delay prediction system. Eager to leverage strong technical skills and problem-solving abilities in a challenging engineering role.
Bharath Institute of Higher Education and Research
B.Tech · Computer Science & Engineering (AI)
August 1, 2021 – June 30, 2025
Global Junior College
Senior Secondary
June 1, 2019 – May 31, 2021
Krishnaveni Talent School
Secondary
June 1, 2018 – May 31, 2019
Bharath Institute of Higher Education and Research
Python Instructor Intern
March 1, 2024 – August 1, 2024
Chennai, Tamil Nadu, India
Flight Delay Prediction
June 1, 2026 – Present
Built a production ML pipeline using Random Forest achieving 98.2% accuracy on 500K+ flight records; integrated Here, Lufthansa, and Kiwi REST APIs for real-time data ingestion, reducing data retrieval time by 50%. Leveraged Neo4j graph database with Cypher queries to model 10K+ airport route relationships, enabling graph-based analytics that cut query execution time by 40% over relational alternatives.
NexusAI - Real-Time AI Assistant
June 1, 2026 – Present
Architected a production-grade real-time AI chat platform with WebSocket streaming via Socket.io, reducing average response latency by 60% vs. traditional HTTP polling; served 1,000+ chat sessions with persistent SQLite memory for cross-session context retention. Integrated 7 built-in agentic tools (web search, calculator, datetime, etc.) and LLM function calling via OpenAI GPT-4, increasing user task completion rate by 45% over a baseline chatbot.
Smart Bookmark App
June 1, 2026 – Present
Engineered a full-stack, cloud-deployed bookmark manager with Google OAuth2 authentication, Row Level Security (RLS) policies, and Supabase Realtime subscriptions achieving sub-100ms cross-device sync across 500+ concurrent users. Delivered 99.9% uptime on Vercel via CI/CD pipeline; implemented full CRUD with URL validation, HTTPS auto-prefix, and accessible responsive UI reducing user drop-off by 35%.
Azure Networking & Compute Services
VOIS
June 1, 2026 – Present
AI & Machine Learning
Kodacy
June 1, 2026 – Present
Full-Stack Web Development
Intrainz
June 1, 2026 – Present
Python Programming
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects showcase a strong initiative and passion for building diverse applications, from full-stack bookmark managers to real-time AI assistants and ML pipelines. This self-driven learning and application of a broad range of technologies (frontend, backend, databases, DevOps, AI/ML) aligns well with a culture that values continuous learning, innovation, and taking ownership. The instructional experience also suggests a collaborative spirit and willingness to share knowledge. The breadth of skills and project types indicates a versatile individual who can adapt to different technical challenges, which is beneficial for a dynamic team environment.
Soft Skills & Operational Fit
The candidate's experience as a Python Instructor Intern suggests strong communication, mentorship, and problem-solving skills. The project descriptions highlight an ability to work on complex, multi-faceted problems, manage project timelines, and focus on user experience and performance metrics. The diversity of projects indicates adaptability and a proactive approach to learning and applying new technologies. The candidate's focus on metrics (e.g., 99.9% uptime, 60% latency reduction, 35% user drop-off reduction) demonstrates a results-oriented mindset.