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AI 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
With a strong foundation in Python, hands-on experience in machine learning, and consistent progress in AI, I'm looking for a position to make an impact by working on real-world systems. Building toward roles at the edge of theory and application, where learning leaves the lab and becomes a product that matters.
RGUKT IIIT Srikakulam, A.P
B.Tech · Computer Science and Engineering
August 1, 2022 – May 1, 2026
RGUKT IIIT Srikakulam, A.P
PUC · Pre University Course
June 1, 2021 – January 1, 2021
SwarmLens [Aatoon Solutions]
Intern - AI Evaluation
November 1, 2025 – February 1, 2026
Dallas, Texas, United States
Pattern Sense Fabric Classification
June 1, 2026 – Present
Developed CNN and used ResNet50 models to classify fabric patterns using deep learning techniques.
Quantum Key Distribution - BB84 Protocol
June 1, 2026 – Present
Implemented BB84 Quantum Key Distribution (QKD) using IBM Qiskit, enabling secure quantum cryptographic key exchange and communication.
Completed AI Internship Prerequisites (NLP, Deep Learning, ML)
Infosys Springboard
June 1, 2026 – Present
Career Edge Young Professional
TCS ION
June 1, 2026 – Present
AI Evals for Everyone
Level Up Labs
June 1, 2026 – Present
Python, SQL for Data Science
IBM & edX
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (Quantum Key Distribution, Fabric Classification) and internship experience (AI Evaluation) demonstrate a proactive approach to learning and applying AI concepts. The certifications and NPTEL achievements indicate a self-driven individual committed to continuous skill development, which is a positive indicator for cultural fit in a growth-oriented team. The focus on AI and machine learning aligns directly with an AI Engineer role. However, the limited professional experience means cultural fit is primarily inferred from academic and self-learning initiatives.
Soft Skills & Operational Fit
The candidate's career objective indicates a desire to work on real-world systems and a commitment to continuous learning, which aligns well with a dynamic operational environment. The academic projects and internship show an ability to apply theoretical knowledge. However, without specific psychometric or behavioral test results, a detailed assessment of soft skills like teamwork, problem-solving under pressure, or adaptability is not possible.