Suddapalli Naga Vikram
AI Engineering InternAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google Cloud Gen AI Academy APAC 2026 (Cohort 1) graduate and B.Tech CSE (Data Science) 2026 candidate with hands-on experience building AI-enabled full-stack applications, RAG pipelines, REST APIs, and ML systems. Proficient in Python, SQL, and JavaScript with practical exposure to LLM integration, prompt engineering, LangChain-based workflows, and cloud-native deployments on GCP and AWS. Delivered production-aligned solutions across internship and academic projects following Agile and SDLC practices. Strong analytical and problem-solving skills with ability to work in fast-paced and ambiguous engineering environments.
Malla Reddy College Of Engineering & Technology
B.Tech · CSE(DATA SCIENCE)
November 1, 2022 – May 30, 2026
Infosys Springboard, Infosys
Data Visualization Intern
December 21, 2025 – February 20, 2026
Ongole, Andhra Pradesh, India
Evoastra Ventures
Data Scientist Intern
September 4, 2025 – November 4, 2025
Ongole, Andhra Pradesh, India
Cultural Fit Analysis
The candidate's involvement in the Google Cloud Gen AI Academy and Google Cloud Arcade, along with multiple certifications, shows a strong initiative for continuous learning and alignment with cutting-edge technologies, which is a positive cultural fit for an AI Engineering Intern role. The diversity of projects (RAG, ML web app, NLP, secure cloud sharing) indicates a broad interest in AI/ML applications. However, the lack of extensive professional experience (only one internship) means their adaptability to diverse team cultures and complex organizational dynamics is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through their Campus Ambassador role, where they guided students and explained technical concepts. Their project descriptions indicate an understanding of SDLC, OOP, and Agile practices, suggesting a structured approach to development. The Data Visualization Intern role highlights collaboration in Agile teams and adherence to documentation standards. However, without specific psychometric or English test scores, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.