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AI Engineer with less than a year in NLP, Generative AI, and Full-Stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Neha Sharma is a driven Computer Science and Engineering student with practical experience in Artificial Intelligence, Natural Language Processing, and Full-Stack Development. She has a strong foundation in building RAG pipelines, sentiment analysis platforms, prompt evaluation toolkits, and intelligent chatbots. Her hands-on experience spans web development, client collaboration, and delivering real-world applications, showcasing strong problem-solving and teamwork skills.
Swami Vivekanand Institute of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Godigitify
Full-Stack Developer
June 1, 2025 – November 1, 2025
India
SVIET
Web Developer
May 1, 2025 – December 1, 2025
India
DocuAsk - RAG-Based Document Q&A System
January 1, 2026 – Present
An end-to-end Retrieval-Augmented Generation pipeline for intelligent document querying. Built a RAG pipeline enabling users to query documents using natural language with high accuracy. Integrated Vector Databases (FAISS/Pinecone) for efficient semantic search and document chunk retrieval.
SentimentIQ – NLP Analytics Platform
January 1, 2026 – Present
A platform for sentiment analysis, text summarization, and deep text analytics. Developed summarization and sentiment classification pipelines evaluated on real-world text datasets. Benchmarked model outputs using ROUGE and BERTScore metrics for quality and performance evaluation.
PromptCraft - Prompt Evaluation Toolkit
January 1, 2026 – Present
A structured toolkit for benchmarking, comparing, and optimizing LLM prompt outputs. Designed evaluation frameworks to compare and optimize prompts across multiple LLM models. Automated prompt testing workflows to measure consistency, accuracy, and output quality at scale.
MediBot - Intelligent Medical Chatbot
January 1, 2026 – Present
An NLP-powered chatbot for symptom-based query resolution and medical triage assistance. Implemented Intent Classification and Named Entity Recognition (NER) for accurate medical query parsing. Built conversational flows to guide users based on detected symptoms and extracted medical entities.
Cultural Fit Analysis
The candidate's project diversity, including RAG systems, sentiment analysis, prompt evaluation, and medical chatbots, indicates a broad interest in AI applications. Participation in hackathons (Microsoft Impact AI Ideathon, Google Ideate 3.0) suggests a proactive, competitive, and innovative mindset, which aligns well with a dynamic tech culture. The full-stack and web development experience, while not directly AI, shows versatility and a willingness to learn different domains.
Soft Skills & Operational Fit
The candidate lists Problem Solving, Communication, Adaptability, and Team Collaboration as soft skills. Project descriptions indicate an ability to work on complex problems and deliver functional solutions. The full-stack and web development experience suggests an understanding of software development lifecycle, which is beneficial for operational fit in an AI engineering role.