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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.
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.
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