AI Engineer with 1+ years in Machine Learning & Backend Development
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Assessing your cultural and operational fit
B.Tech graduate in AI & ML (CGPA 8.2), immediately available. 6 months of hands-on, self-directed technical experience - including a deployed Movie Recommendation System used in a real-world setting - combined with 5 internships spanning backend development (Java/Spring Boot), data analytics (SQL/Power BI/Excel), machine learning, and network engineering. Comfortable across the full SDLC, including CI/CD (GitHub Actions). Strong analytical thinking, communication, and team collaboration skills, with hands-on Agile/Scrum experience.
G. Pulla Reddy Engineering College
B.Tech · AI & ML
N/A – June 30, 2025
Unknown
Diploma · CSE
N/A – June 30, 2022
Personal Initiative
Independent ML/Data Projects
January 1, 2025 – Present
India
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Resume Classifier
January 1, 2026 – June 1, 2026
96% accuracy classifier trained on 5,000+ resumes — automates candidate screening.
Call Center KPI Dashboard
January 1, 2026 – June 1, 2026
2 dashboards visualising AHT, CSAT & Agent Efficiency from MySQL/Excel sources.
Movie Recommendation System
January 1, 2025 – June 1, 2026
Deployed in a real-world setting — content-based filtering engine for personalized recommendations.
View ProjectGoogle ML Certification
June 1, 2026 – Present
Wipro J2EE Full Stack
Wipro
June 1, 2026 – Present
PwC Power BI Experience
PwC
June 1, 2026 – Present
ServiceNow ITSM & HRSD
ServiceNow
June 1, 2026 – Present
LOR Labmatrix (AI/ML)
Labmatrix
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse internship experience (backend, data analytics, ML, networking) and self-directed projects demonstrate a broad interest in technology and a proactive learning approach. This breadth, combined with a focus on AI/ML, suggests a good fit for a dynamic environment that values continuous learning and cross-functional exposure. The involvement in multiple projects, including a deployed system, indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical thinking, communication, and team collaboration skills, with hands-on Agile/Scrum experience. The self-directed nature of personal projects suggests initiative and problem-solving capabilities. Experience across diverse internships indicates adaptability and a willingness to learn various technical domains.