AI Research Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a passionate Computer Science Student, I aim to leverage my skills to create innovative, user-centered solutions. I am seeking opportunities to contribute to a dynamic team where I can continue to develop cutting-edge applications and grow my skills in modern technologies, driving impactful digital transformation.
Gandhi Institute for Technology (Autonomous), Bhubaneswar
Bachelor of Technology · Computer Science and Engineering
August 1, 2023 – Present
Sadhu Goureswar Higher Secondary School, Jajpur
12th Grade
June 1, 2021 – May 31, 2023
Dasarathpur Government High School, Jajpur
Matriculation
N/A – May 31, 2021
NIT Rourkela
AIMLReasearch Intern
June 1, 2025 – July 15, 2025
Raurkela, Odisha, India
CTTC
Java Intern
July 1, 2024 – August 1, 2024
Bhubaneshwar, Odisha, India
Farmsathi:Intelligent Agricultural Support System
June 16, 2026 – Present
Engineered an intelligent agricultural support pipeline using TensorFlow and custom machine learning models to automate crop recommendation and plant disease analysis. Built a robust data-preprocessing and predictive modeling engine paired with a React frontend, delivering data-driven insights to optimize crop yield and farming efficiency. Deployed context-aware disease classification architectures, minimizing diagnostic errors and significantly reducing decision-making latency for farmers.
Prithvilok
June 16, 2026 – Present
Developed a decentralized climate intelligence platform integrating AI-powered pollution prediction models and CNN-based image classification for automated waste segregation. Built a community-driven action network leveraging data-driven insights and GIS mapping APIs to facilitate measurable, localized environmental impact.
Programming in Java
NPTEL
June 1, 2026 – Present
Drone Engineering Fundamentals, Developments, and Applications
NIELIT
April 23, 2025 – April 29, 2025
Cultural Fit Analysis
The candidate's project diversity, ranging from climate intelligence to agricultural support and medical applications, indicates a broad interest in applying AI to various real-world problems. This aligns well with a research-oriented role that often requires exploring different domains. Their participation in hackathons and workshops also suggests a proactive and collaborative mindset, which is beneficial for cultural fit in an innovative team. However, as an entry-level candidate, their experience with diverse team structures and corporate culture is limited.
Soft Skills & Operational Fit
The candidate demonstrates a positive attitude toward learning and is a quick learner, which are valuable soft skills for an AI Research Engineer role. Their involvement in academic projects and hackathons suggests an ability to work in dynamic environments and contribute to team-based initiatives. However, with limited professional experience, their operational fit in a senior role requiring independent decision-making and complex project management is yet to be fully validated.