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Entry-Level AI Engineer with strong Python, NLP, and Machine Learning skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Engineer and Computer Science graduate with strong knowledge in Python, Natural Language Processing (NLP), Machine Learning, and Generative AI tools. Experienced in developing AI-powered applications including resume screening systems, chatbots, voice translators, and study assistants using NLP and BERT models. Passionate about building intelligent solutions, solving real-world problems, and continuously learning emerging AI technologies.
Infosys Springboard
Virtual Internship
November 1, 2025 – January 1, 2026
India
DISEASE RISK PREDICTION USING GNN
June 1, 2026 – Present
Developed a disease risk prediction system using Machine Learning and Deep Learning algorithms on healthcare datasets. Implemented and compared XGBoost, ANN, and Graph Neural Network (GNN) models to identify the highest accuracy model. Performed healthcare data processing, feature engineering, model training, backend development, and predictive analytics to generate intelligent insights for disease risk assessment. Evaluated model performance using accuracy, precision, recall, and F1-score metrics.
REAL-TIME VOICE TRANSLATOR
June 1, 2026 – Present
Developed a Python-based multilingual voice translation application using API integration, SpeechRecognition, gTTS, and NLP techniques to automate real-time language communication workflows. Implemented continuous voice input with real-time speech-to-text (STT) and text-to-speech (TTS) processing. Enabled seamless communication across multiple languages with minimal user interaction. Reduced manual translation effort by 80%, improving efficiency and user experience.
AI-POWERED CUSTOMER SUPPORT CHATBOT
June 1, 2026 – Present
Developed an intelligent chatbot using Python and NLP techniques to automate customer support. Implemented intent recognition and automated response generation. Improved query resolution efficiency through real-time conversational assistance. Enhanced customer interaction experience using AI-driven communication workflows.
Generative AI Tools Workshop
NXT Wave
January 1, 2024 – Present
Python
GUVI
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying AI technologies, which aligns with an innovative and growth-oriented culture. The academic nature of most projects and limited professional experience suggest a strong drive for technical exploration. However, the breadth of experience outside of academic projects is limited, which might impact adaptability to diverse team dynamics and corporate environments without further development.
Soft Skills & Operational Fit
The candidate lists 'Team Collaboration', 'Time Management', 'Analytical Thinking', 'Problem Solving', and 'Independent Self-Learning' as soft skills. Project descriptions indicate some level of problem-solving and application development. However, without specific assessment data on these soft skills or operational scenarios, it is difficult to fully assess their operational fit beyond what is stated.