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AI Engineer with less than a year in Python backend, ML/AI, and GenAI integration.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IEEE-published (ICTBIG 2025) Software Development Associate (Class of 2026) with 8+ months of internship experience in Python backend development, REST APIs, ML pipelines, and LLM/GenAI integration. Skilled in Agile/Scrum, unit testing (pytest), CI/CD, and Linux environments. Simplilearn SQL Certified. Targeting backend engineering, data science, or AI/ML roles.
G.H. Raisoni College of Engineering and Management
Bachelor of Technology · Data Science Engineering
August 1, 2022 – June 30, 2026
Thynk Tech India
AI/ML Python Intern
November 1, 2025 – April 30, 2026
Pune, Maharashtra, India
Infosys Springboard
Data Science & AI Virtual Intern
September 1, 2025 – November 30, 2025
India
AI Tutor LLM-Based Adaptive Learning Assistant
June 1, 2026 – Present
Modular Flask backend with LangChain chains and RAG over 500-document corpus; local LLM via Ollama achieved sub-2s latency at zero cloud cost; deployed to 5 beta users with multi-turn memory.
Ride Wise – Bike-Sharing Demand Prediction
June 1, 2026 – Present
Trained ensemble model on 17K+ ride records; achieved R2 = 0.91, RMSE 38.4 trips/hr; delivered 3-dashboard Power BI report adopted for weekly stakeholder planning.
Real-Time IoT Anomaly Detection System
July 1, 2025 – November 30, 2025
Architected preprocessing → LSTM inference → Flask API → alert dashboard achieving 94.6% detection accuracy on 115K+ N-BaIoT samples; published in IEEE Xplore, ICTBIG 2025.
Simplilearn SQL Certified
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic research to personal LLM projects and demand prediction, shows a broad interest and proactive learning approach. Their internship experience in both AI/ML and data science roles aligns well with the target AI Engineer role, indicating adaptability and a willingness to tackle varied challenges. The mention of Agile/Scrum and structured code review suggests a fit for collaborative, fast-paced development environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project execution and academic publication. Their experience in Agile/Scrum environments, Git branching, and code review indicates good team collaboration and operational fit. The ability to author module documentation suggests a commitment to maintainability and knowledge transfer.