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Entry-level Full Stack AI Engineer with Python & Flask
Entry-level Software Engineer with hands-on experience building full-stack applications using Python, Flask, and SQL. Skilled in REST API design, relational database design, and integrating third-party APIs including LLMs (Google Gemini) into backend workflows. Experienced with user authentication, role-based access control, and secure backend practices. MCA graduate with practical exposure to production codebases and automation workflows through an internship. Quick learner, comfortable working across the stack, and looking to contribute to a team building real-world software products.
Kristu Jayanti (Deemed to be University)
MCA
August 1, 2024 – June 30, 2026
JSS SMI UG PG STUDIES
BCA
August 1, 2021 – June 30, 2024
SAINIKETAN PU COLLEGE
12th
June 1, 2020 – May 31, 2021
GOVT P B HIGH SCHOOL
10th
June 1, 2018 – May 31, 2019
Daylink Tech Labs Pvt. Ltd.
AI/ML Intern
January 1, 2026 – May 1, 2026
India
AI Powered Interview System
January 1, 2026 – June 1, 2026
Built a full-stack mock-interview platform with a Flask REST API backend and a React.js frontend, communicating via Flask-CORS. Designed a 7-stage adaptive interview engine (Introduction, HR, Technical, Project-based, Scenario, Soft Skills, Closing) that progresses dynamically based on candidate responses. Implemented a fault-tolerant AI pipeline using Gemini Pro with automatic fallback to Gemini Flash, ensuring uninterrupted interview sessions during API failures. Built resume-aware question generation by parsing uploaded PDF resumes with PyPDF2 and feeding extracted content into the LLM for personalized, project-specific questions. Developed REST API endpoints across authentication, interview flow, and admin management using a modular Flask Blueprint architecture, with UUID-based session management to support concurrent interview sessions. Delivered structured post-interview evaluation, including a 1-10 score, strengths, and improvement areas, generated by the LLM in a structured format.
View ProjectAI Resume Analyzer
January 1, 2026 – June 1, 2026
Built a full-stack resume evaluation platform with secure user authentication (hashed passwords) and an admin panel for managing user submissions across the platform. Engineered a multi-format text-extraction pipeline supporting PDF, DOCX, and TXT resume uploads using Python libraries including pdfplumber and docx2txt. Integrated the Google Gemini AI model via prompt engineering to generate structured feedback, scoring resumes out of 100 across weighted criteria: relevance to job role, formatting, professionalism, and ATS optimization. Designed a relational SQLite database schema to persist user data, scores, and AI-generated feedback, enabling users to track resume history and average scores on a personal dashboard. Implemented secure backend practices including session-based authentication, route protection for sensitive endpoints, and ownership checks to ensure users can only access their own data.
View ProjectIntroduction to AI
Infosys
June 1, 2026 – Present
Programming Fundamentals
Infosys
June 1, 2026 – Present
Prompt Engineering
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects, particularly the 'AI Resume Analyzer' and 'AI Powered Interview System,' demonstrate a strong initiative and passion for building practical, AI-driven solutions. This aligns well with a culture that values innovation and self-driven learning. The internship experience in a SaaS platform environment indicates an ability to work within a team on a production codebase, suggesting a good fit for collaborative engineering environments. The breadth of skills across Python, Flask, React.js, and AI/ML integration shows versatility and a willingness to tackle diverse technical challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of complex, adaptive systems (e.g., 7-stage interview engine, multi-format text extraction). Collaboration is evident from the internship experience where they worked within an existing codebase and with an engineering team. The projects also highlight an ability to manage project lifecycles from design to implementation, including database schema design and API development. The candidate's proactive approach to learning new technologies (LLMs, browser automation) suggests adaptability and a growth mindset.