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Software Engineer with less than a year in Machine Learning & Backend Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate focused on machine learning and backend development. Experienced in building NLP-based systems, recommendation engines, and scalable REST APIs using Python, FastAPI, and Django.
GIFT Autonomous College
Bachelor of Engineering · Computer Science Engineering
August 1, 2023 – Present
Narayana School, Patia, Bhubaneswar
Intermediate (Class XII)
N/A – May 31, 2023
Narayana School, Patia, Bhubaneswar
Matriculation (Class X)
N/A – May 31, 2021
Odisha Knowledge Corporation Limited (OKCL)
Machine Learning Intern
May 1, 2025 – July 31, 2025
Bhubaneshwar, Odisha, India
Central Tool Room and Training Centre (CTTC)
Software Intern
July 1, 2024 – July 31, 2024
Bhubaneshwar, Odisha, India
CalmBeforeChristmas
June 1, 2026 – Present
Built CalmBeforeChristmas, an Al-based mental wellness web application.
MitraFund
June 1, 2026 – Present
Developed MitraFund, a micro-savings platform using ML.
Human-Al Memory Continuity System
December 1, 2025 – December 31, 2025
Integrated a machine learning recommendation engine to suggest personalized content, improving user satisfaction. Implemented content-based and collaborative filtering to personalize user experience, improving user satisfaction. Used vector embeddings for long-term memory retrieval, enhancing context and improving user satisfaction.
AI Career Recommendation System for BPUT Students
October 1, 2024 – October 31, 2024
Developed an AI-driven career recommendation engine using Scikit-learn, improving user satisfaction. Integrated NLP-based resume parsing for skill-gap analysis, improving user satisfaction. Optimized system performance on microservices and FastAPI caching, improving user satisfaction.
Cloud Computing & IIoT 4.0
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Database Foundations
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, particularly in AI/ML and web applications, shows a broad interest in applying technical skills to various problem domains. Their involvement in hackathons and continuous self-learning indicates a proactive and growth-oriented mindset, which is a positive cultural fit for innovative and dynamic teams. The target role of 'Software Engineer' aligns well with their demonstrated backend and ML engineering skills.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, a quick learning ability, and self-driven project development. These traits suggest a good operational fit for roles requiring independent problem-solving and continuous learning. The focus on AI/ML and backend systems aligns well with modern software engineering demands.