JANIAH SURESH WILLIAM
Dubai,UAE
Summary
Accomplished professional with expertise in AI and machine learning, specialising in OpenAI, Groq LLaMA-3.3-70B, and Whisper ASR technologies. Proficient in data engineering using Python and SQL, with a strong foundation in frontend development through Next.js and React. Skilled in cloud platforms such as AWS and Microsoft Azure, complemented by experience in BI tools like Power BI and DataStudio. Adept at designing KPI dashboards and automating AI workflows, with a focus on precision evaluation techniques. Career goals include advancing cloud certifications while leveraging AI to drive innovative solutions.
Overview
2
2
years of professional experience
4
4
years of post-secondary education
1
1
Certification
Work history
Operations & Automation Engineer (Intern)
TÜV Rheinland Middle East
Dubai
2026.01 - 2026.06
- Designed and deployed 3 Python ETL pipelines, automating inspection report generation for 8 field engineers. Reduced manual processing effort by 40% and report turnaround time by 62%, from 2 hours to under 45 minutes.
- Built SQL queries and Excel KPI dashboards in Microsoft 365 to monitor 15+ real-time metrics for senior management across 2 regulatory frameworks.
- Developed structured SharePoint data repositories and standardized reporting workflows, cutting information-retrieval time by 30% and enhancing audit-readiness over 2 compliance cycles.
Data Analyst Intern
Derby Group of Companies
Dubai
2024.06 - 2024.08
- Analyzed datasets of 100,000+ records using Python (pandas, NumPy) and SQL, producing 4 compliance reports for senior management.
- Designed and launched 3 BI dashboards (Power BI/DataStudio) for sales, finance, and compliance, reducing manual reporting by 50% in two departments.
- Automated 6 data-cleaning pipelines in Python, cutting preparation time from 4 hours to under 30 minutes (8x speed-up) and boosting accuracy by 35%.
- Presented KPI findings in 2 stakeholder sessions, improving cross-functional alignment and establishing documentation standards for analytics team.
Education
B.E. - Computer Science
Birla Institute of Technology and Science Pilani (BITS Pilani)
Dubai, UAE 2022.09 - 2026.06
High School -
St. Thomas School
Trivandrum, IndiaSkills
- AI & LLM: OpenAI, Groq LLaMA-33-70B, Whisper ASR, text-to-speech (TTS), prompt engineering, RAG architecture, OCR integration, AI workflow automation
- Machine Learning: scikit-learn, classification, regression, clustering, precision/recall/F1 evaluation, cross-validation, hyperparameter tuning, feature engineering, NLP, TF-IDF
- Data Engineering: Python (pandas, NumPy), SQL
- Frontend & Web: Nextjs, TypeScript, React, Tailwind CSS, Firebase (Auth, Firestore, Storage), REST APIs, Netlify
- Cloud & Platforms: AWS (Cloud Practitioner in progress), Microsoft Azure basics, Microsoft 365 Admin, SharePoint
- BI & Dashboards: Power BI, DataStudio, Excel (pivot tables, VLOOKUP, statistical functions), KPI dashboard design, and performance monitoring
- Programming Languages: Python, JavaScript, TypeScript, Java, C, C, SQL
Websites
Certification
- AWS Certified Cloud Practitioner - Amazon Web Services, Present
- Generative AI - Finlatics, 2025
- Python for Data Science, AI & Development — IBM (Coursera), 2024
Languages
English: fluent
Hindi: fluent
Arabic: conversational
Malayalam: native
Projects
MyBuddy - AI-Enabled Field Inspector Assistant, Next.js
Voice-enabled AI assistant built with OpenAI API, Whisper ASR, and Pinecone RAG architecture. Engineered multi-turn session management, system prompt iteration, and a PDF/Word ingestion pipeline for context-aware, compliance-grounded LLM responses. Led frontend and voice AI development in Next.js, TypeScript, and Tailwind CSS, deployed to Netlify.
SMS Spam Detection System, Python
Built and benchmarked 3 text-classification models on 5,500+ messages, achieving 96%+ accuracy via an end-to-end NLP pipeline (TF-IDF, tokenisation, cross-validated tuning). Delivered a structured precision-recall trade-off analysis across all models.
Student Performance Prediction, Python
Benchmarked 4 classification models (Decision Tree, Random Forest, SVM, Neural Network) on 1,000+ student records, achieving 87% accuracy through feature selection, preprocessing, and hyperparameter tuning. Delivered an audit-ready precision, recall, and F1-score evaluation report per model.
Smart EV Charging System, Python
Designed and simulated a fuzzy logic controller managing EV charging across 3 sensor inputs (battery level, temperature, grid load), achieving stable current control with under 2% voltage ripple. Documented system logic and performance benchmarks in a formal technical specification report.
Timeline
Operations & Automation Engineer (Intern)
TÜV Rheinland Middle East
2026.01 - 2026.06
Data Analyst Intern
Derby Group of Companies
2024.06 - 2024.08
B.E. - Computer Science
Birla Institute of Technology and Science Pilani (BITS Pilani)
2022.09 - 2026.06
High School -
St. Thomas School