Rehaan S.
AI Engineer
Experience
Jun 2025 - Sep 2025
4 monthsCardiff, United Kingdom
AI Engineer (Dissertation Project)
SimplyDo
- Built a semantic idea retrieval system using Gemini embeddings + FAISS, reducing query time by 85%.
- Added filtering and fallback mechanisms to handle vague/metadata-only queries.
- Automated data pipelines with client-specific privacy controls.
- Achieved 100/100 SUS usability score via client testing across diverse queries.
- Collaborated with CTO to align tech with product goals for production readiness.
May 2024 - Jul 2024
3 monthsIndia
Data Science Intern
Unified Mentor
- Performed EDA on sales data, engineering features that improved forecasting accuracy by 15%.
- Built ML models for classification and time-series forecasting in retail use cases.
- Pre-processed raw data using Pandas/NumPy, reducing model error.
Oct 2023 - Mar 2024
6 monthsPune, India
Data Analyst Intern
SkillReigns
- Built a churn prediction model using scikit-learn on 30k+ e-commerce records; improved retention by 12%.
- Delivered insights via SQL + Power BI, reducing reporting time by 40%.
- Automated SQL workflows to speed up business reporting.
CRAG: Corrective RAG Chatbot
- Built a RAG chatbot for cardiology using Chroma + FLAN-T5 + BGE-small; improved response accuracy by 40%.
- Deployed with Mistral-7B, TinyLLaMA, fallback web search (Tavily API) on FastAPI + Streamlit.
Fine-Tuning BERTweet for Sentiment Analysis
- Fine-tuned BERTweet on multiclass Twitter data using Hugging Face; achieved 63% accuracy, 58% F1 under class imbalance.
- Benchmarked against CNN + Word2Vec and DistilBERT, highlighting transformer models’ edge for short-text sentiment.
Parameter-Efficient Fine-Tuning Analysis
- Replicated BitFit paper; compared BitFit, LoRA, Diff Pruning on BERT, GPT-2, and T5.
- Found LoRA offered best accuracy–efficiency trade-off on small datasets; BitFit was simplest.
Summary
AI engineer and NLP postgraduate at Cardiff University with hands-on experience in fine-tuning transformer models, deploying ML systems, and building RAG-based applications.
Focused on real-world impact through LLMs and end-to-end AI workflows.
Languages
English
AdvancedEducation
Cardiff University
Masters · Natural Language Processing · Cardiff, United Kingdom
Modern College
Bachelors · Statistics · Pune, India
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