AI Engineer with less than a year in NLP, Machine Learning, and Cloud platforms (Azure & 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
Ladi Santosh is an aspiring Azure Cloud Engineer and Generative AI Developer, currently pursuing a B.Tech in Computer Science & Engineering. With practical experience as a Research Intern at CloudThat Technologies and a Full Stack Developer Intern at IBM Solutions, Ladi has honed skills in PyTorch, TensorFlow, NLP, LLM, and cloud infrastructure. Key achievements include fine-tuning sentiment models, engineering ML pipelines, and deploying scalable cloud solutions, demonstrating a strong foundation in AI development and cloud engineering.
Lovely Professional University
B.Tech · Computer Science & Engineering
N/A – June 30, 2026
CloudThat Technologies
Research Intern – Multi-Cloud (Azure & AWS)
January 1, 2026 – Present
Bengaluru, Karnataka, India
IBM Solutions
Full Stack Developer Intern
May 1, 2024 – July 1, 2024
India
Azure Cloud App
June 24, 2026 – Present
Auto-scaling deployment with 99.9% uptime
IntelliDoc
June 24, 2026 – Present
RAG chatbot with NLP preprocessing and embedding fine-tuning (92%+ accuracy)
Microsoft Azure Fundamentals AZ-900
Microsoft
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
January 1, 2025 – Present
MySQL Certification
HackerRank
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML and cloud technologies, aligning well with an AI Engineer role. Their involvement in both research and full-stack development internships, along with personal projects, demonstrates versatility and a willingness to explore different areas. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting. The breadth of skills and certifications suggests a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying new technologies, as evidenced by their diverse project work and certifications. Their experience in optimizing models and deploying scalable solutions suggests a results-oriented mindset. The descriptions of their internship roles highlight collaboration and problem-solving skills, which are crucial for operational fit.