AI Engineer with less than a year in NLP & Data Science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech Computer Science (Data Science) undergraduate with an 8.99 CGPA and hands-on experience in building AI/ML systems, NLP pipelines, and machine learning model development. Built a RAG-powered LLM travel assistant leveraging Llama 3.2 (local), ChromaDB vector store, and semantic embeddings on a custom-curated dataset - enabling fast, context-aware itinerary recommendations without external API dependency. Seeking an AI/ML Engineer role to architect, train, evaluate, and deploy intelligent systems that drive measurable business value.
Nadimpalli Satyanarayana Raju Institute of Technology
B.Tech · Data Science
July 31, 2022 – May 30, 2026
Demy Software Solutions
Python AIML Intern
May 31, 2024 – June 30, 2024
Visakhapatnam, Andhra Pradesh, India
Tripease - A smart travel companion
January 14, 2026 – April 30, 2026
Current Role: Final‑year B.Tech (Data Science) student at NSRIT, CGPA 8.99. Professional Identity: Emerging AI Engineer with <1 year experience in NLP & Data Science. Key Project: Built TripEase – Smart Travel Companion, a RAG‑powered LLM travel assistant using Llama 3.2 (local), ChromaDB, semantic embeddings, and a custom dataset for itinerary recommendations. Skills: Python, Java, SQL, Machine Learning, NLP, PyTorch, TensorFlow, LangChain, Transformers, Scikit‑Learn, Pandas, NumPy, Power BI, Git/GitHub. Internship: Python AIML Intern at Demy Software Solutions (June–July 2024). Certifications: EF SET Certificate and other AI/ML related badges. Career Goal: Seeking AI/ML Engineer roles to architect, train, evaluate, and deploy intelligent systems that deliver measurable business value.
Data Science Using Python
NPTEL/SWAYAM
August 31, 2025 – Present
Achieved an excellent score of 94%, indicating a very strong grasp of data science and artificial intelligence fundamentals and applications.
Cultural Fit Analysis
The candidate is a final-year student with limited professional experience but a strong academic background and several relevant projects. Their career goal aligns directly with an AI/ML Engineer role. The diversity of projects (travel companion, movie recommendation, Airbnb data analysis) shows a broad interest in applying AI/ML to different domains. The internship experience, though short, indicates a willingness to gain practical exposure. The psychometric test score is 263/500, which is below average, and might indicate areas for development in work attitude or stress handling, which could impact cultural fit in a fast-paced environment.
Soft Skills & Operational Fit
The candidate's project descriptions and resume structure indicate good communication skills. The involvement in coordinating a workshop and competing in a hackathon suggests a proactive attitude and potential for teamwork. The psychometric test score is moderate, suggesting average logical reasoning and work attitude, which could be further explored in an interview.
Strengths
Limitations
Scored 73%, indicating a good but not expert-level proficiency in Python and related data analysis skills. There are areas for improvement in specific topics.
Strengths
Limitations