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AI Engineer with less than a year in Deep Learning and AWS.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and skilled AI/ML professional with a B.Tech in Computer Science and Engineering (AI & ML). Possesses hands-on experience in training deep learning models with TensorFlow and PyTorch for image and NLP tasks, as well as deploying ML models using AWS SageMaker, Lambda, and Rekognition. Proficient in Python, Java, C, SQL, and various AI/ML tools, with a strong foundation in machine learning pipelines and automation workflows. Eager to apply and expand expertise in AI/ML engineering roles.
Marri Laxman Reddy Institute of Technology and Management
B.Tech · Computer Science and Engineering (AI & ML)
August 1, 2020 – June 30, 2024
Sri Vijaya Sai Junior College
Intermediate · MPC
June 1, 2018 – May 31, 2020
Sri Vijaya Sai High School
Secondary School Education
N/A – May 31, 2018
AWS
AI/ML Intern
January 1, 2025 – March 1, 2025
India
CITD
Deep Learning Intern
August 1, 2024 – January 1, 2025
India
Leukemia Classification using ML
June 1, 2026 – Present
Built classification system using image preprocessing and KNN algorithm. Applied feature extraction and thresholding for accurate prediction.
View ProjectStock Price Prediction using Twitter Dataset
June 1, 2026 – Present
Combined sentiment analysis with stock history to predict price movement. Implemented ML models to capture correlation between public sentiment and trends.
View ProjectAWS AI/ML Certification
Unknown
June 1, 2026 – Present
Salesforce Agentforce Specialist
Unknown
June 1, 2026 – Present
Java, Python, SQL (Basic)
HackerRank
June 1, 2026 – Present
English Certification
EFSET
June 1, 2026 – Present
AI-ML Certification
AICTE EduSkills
June 1, 2026 – Present
Deep Learning
CITD
June 1, 2026 – Present
ServiceNow CSA
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a clear passion and focus on AI/ML, aligning well with an AI Engineer role. The diversity of projects (medical image classification, financial prediction) and exposure to different tools (TensorFlow, PyTorch, AWS) suggest adaptability and a willingness to learn new technologies. The candidate's profile indicates a proactive approach to skill development through certifications. However, the experience is primarily academic and internship-based, which might require some ramp-up in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on technical skills and project execution. While direct evidence of soft skills like teamwork or communication is limited, the project descriptions suggest an ability to complete tasks independently. Operational fit appears strong given the direct alignment of projects and internships with AI/ML roles, particularly within cloud environments.