AI Engineer with less than a year in ML pipelines & full-stack 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 completed an AI internship at OCAC (Govt. of Odisha) building ML pipelines on real financial data, reducing manual analysis time by an estimated 40%. Trained a plant disease classifier achieving 99.29% validation accuracy across 38 classes. Built and deployed a real-time chat app with Firebase Auth and Socket.io.
GIFT Autonomous
B. Tech · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Godavarish Higher Secondary School
Intermediate (12th)
June 1, 2021 – May 31, 2023
OCAC
Artificial Intelligence Intern
May 1, 2025 – July 31, 2025
Bhubaneshwar, Odisha, India
ResuMatch - AI Resume Analyzer
April 1, 2026 – May 31, 2026
Built AI resume analyzer scoring resume-to-job match (0-100%) with missing keywords and suggestions using a 3-tier fallback – Groq → Gemini → OpenAI – ensuring zero downtime when any model hits rate limits Implemented PDF parsing pipeline with pdf-parse, structured JSON prompt engineering, and per-user analysis history stored in MongoDB Atlas Integrated Firebase Google OAuth and Email/Password auth with protected routes and deployed full-stack app on Render
View ProjectChatify - Real-Time Chat Application
January 1, 2026 – April 30, 2026
Built real-time messaging with Socket.io supporting 50+ concurrent connections with event-driven architecture and live message delivery Implemented hybrid auth using Firebase Google OAuth and JWT – enabling one-click sign-in with persistent sessions and role-based access control Developed core features including one-to-one messaging, user presence indicators, chat history persistence in MongoDB, and responsive UI using Tailwind CSS
View ProjectPlant Disease Prediction
October 1, 2025 – January 31, 2026
Fine-tuned EfficientNet-B0 and ResNet-50 using PyTorch transfer learning on the PlantVillage dataset – classifying 38 plant disease classes with 99.29% val accuracy across 70/15/15 train-val-test split over 15 epochs Built end-to-end image classification pipeline – data augmentation (random crop, flip, normalization) → model training with Adam optimizer → exported deployable EfficientNet model as a pkl file for real-world leaf disease prediction from images
View ProjectNPTEL Elite - Industry 4.0 & IoT
IIT Kharagpur
June 1, 2026 – Present
MongoDB CRUD Operations Certification
MongoDB
June 1, 2026 – Present
Deloitte Virtual Internship Program (Data Analytics)
Deloitte
June 1, 2026 – Present
NPTEL Elite - Affective Computing
IIIT Delhi
June 1, 2026 – Present
Programming with Python
Moniba Technology & Innovations
July 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI and full-stack development through diverse personal and academic projects. The projects range from computer vision (Plant Disease Prediction) to natural language processing/generative AI (ResuMatch) and real-time systems (Chatify), showcasing a broad technical curiosity and willingness to explore different domains. The internship at OCAC (Govt. of Odisha) indicates an ability to work in structured environments. The target role of 'AI Engineer' aligns well with the candidate's project experience and internship, suggesting a good cultural fit for an AI-focused team. However, the low psychometric test score could be a concern regarding team dynamics and adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and results-oriented approach, focusing on quantifiable outcomes (e.g., 99.29% accuracy, 23% error reduction, 40% time reduction). The development of a real-time chat application and an AI resume analyzer suggests an ability to work on diverse projects and integrate various technologies. The psychometric test score is low, which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which are crucial for operational fit in a senior role.