AI Research Engineer with less than a year in NLP, Machine Learning, and Generative AI, actively con
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To enhance my professional skills, technical capabilities, and knowledge by contributing to innovative projects in a dynamic organization that values dedication, creativity, and teamwork.
NIST UNIVERSITY
B.Tech · Computer Science and Engineering
October 1, 2022 – April 1, 2026
Central Tool Room & Training Centre(CTTC)
Artificial Intelligence/Machine Learning Intern
June 1, 2025 – July 1, 2025
Bhubaneshwar, Odisha, India
Nist University
Data science using Python (ML and DL)
July 1, 2024 – August 1, 2024
Brahmapur, Odisha, India
TEXT-BASED EMOTION CLASSIFICATION SYSTEM
August 1, 2025 – Present
Developed an Emotion Classification System using the GoEmotions dataset and advanced NLP techniques with Hugging Face Transformers. Fine-tuned BERT-based models to accurately detect 28 nuanced emotions from user-generated text. Integrated visualization tools for emotion distribution and model analysis. The system supports applications in sentiment analysis, mental health monitoring, and affective computing.
MEDICAL RAG ASSISTANT
July 1, 2025 – Present
Developed a Medical RAG Assistant using Streamlit, LangChain, Groq LLaMA 3.1, ChromaDB, and Ollama Embeddings to provide context-aware responses for medicine availability, dosage instructions, alternatives, and healthcare FAQs. Implemented a vector database retrieval pipeline and dual AI chat system (Medical RAG + General AI), enabling accurate information retrieval, real-time conversational assistance, and an enhanced WhatsApp-style user experience.
Machine learning and Image Processing
Nasscom Foundation
October 1, 2025 – Present
The_Ultimate_Job_Ready_Data_Science_Course
Codewith Harry
September 1, 2025 – Present
Deep Learning with PyTorch
Coursera
July 1, 2025 – Present
Computer vision app with Azure Cognitive
Coursera
July 1, 2025 – Present
Programming in Java
NPTEL
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in practical applications of AI, particularly in areas like sentiment analysis and medical information retrieval. Their participation in extra-curricular activities and certifications shows a proactive approach to learning and skill development. The breadth of skills listed (Python, Java, various AI/ML frameworks, data analysis tools) indicates adaptability and a willingness to explore different technical domains. The target role of 'AI Research Engineer' aligns well with the candidate's project experience and research paper contributions, suggesting a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate's involvement in extra-curricular activities like ISTE Student Chapter and CLUB MULTIMEDIA suggests good organizational, leadership, and teamwork skills. These experiences indicate an ability to collaborate, manage events, and conduct training, which are valuable for operational fit in a research and development environment. The summary also highlights a desire to contribute to innovative projects in a dynamic organization, aligning with a proactive work attitude.