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Python Engineer with less than a year in AI, Data Science & Backend Development
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Assessing your cultural and operational fit
IEEE-published (ICTBIG 2025) Data Science Engineering graduate (Class of 2026, CGPA: 8.4/10.0) with strong foundations in Computer Science fundamentals DSA, OOP, DBMS, OS, and Computer Networks. 8+ months of internship experience writing production-grade Python and Java-adjacent code, building RESTful APIs, and shipping software in collaborative Agile teams. Active on GitHub with real-world project deployments; driven problem-solver comfortable with complexity and keen to grow rapidly at a technology-led company.
G.H. Raisoni College of Engineering and Management
Bachelor of Technology · Data Science Engineering
August 1, 2022 – June 30, 2026
Thynk Tech India
Python Backend & Software Development Intern
November 1, 2025 – April 1, 2026
Pune, Maharashtra, India
Infosys Springboard 6.0
Data Science & AI Python Intern
September 1, 2025 – November 1, 2025
India
AI Tutor LLM-Based Adaptive Learning Assistant
June 1, 2026 – Present
Built a modular Python backend applying clean architecture and OOP patterns; implemented multi-turn memory and a 500-document RAG corpus; achieved sub-2s response latency at zero cloud cost; iterated based on feedback from 5 beta users.
Ride Wise Bike-Sharing Demand Prediction
June 1, 2026 – Present
Engineered a full ML pipeline — feature engineering, ensemble model training (R2 = 0.91), evaluation, and a 3-dashboard Power BI report — adopted by stakeholders for weekly operational planning.
Real-Time IoT Anomaly Detection System
July 1, 2025 – November 1, 2025
Designed an end-to-end system — data ingestion → LSTM inference → Flask REST API → alert dashboard — achieving 94.6% detection accuracy on 115K+ N-BaIoT samples; applied software engineering best practices throughout; published in IEEE Xplore, ICTBIG 2025.
Simplilearn SQL Certification
Simplilearn
June 1, 2026 – Present
IEEE Publication (ICTBIG 2025)
IEEE Xplore, ICTBIG 2025
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and internship experiences, shows a broad interest in applying technical skills. Their involvement in an IEEE publication and continuous learning (certifications) indicates a growth-oriented mindset. The experience in Agile/Scrum environments suggests adaptability and a team-player attitude, aligning well with collaborative work cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, a proactive approach to learning (IEEE publication), and a collaborative mindset through Agile team experience. Their focus on clean code, documentation, and systematic debugging suggests a good operational fit for a development team.