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P Samson Silvester

Data Scientist | AI/ML Engineer | LLMs • RAG • Fraud Detection • Demand Forecasting • MLOps | 94% Precision • 99.5% Uptime | M.Sc. AI & ML (3.9/4.0)

Bengaluru

2+ years of work experience

HP
Nov 20221 yr 4 mosFeb 2024

Bengaluru

Drove data-led operational improvements across a large-scale enterprise support function — applying pattern recognition and structured analysis directly mirroring production ML workflows. • Analyzed 100+ monthly support cases using structured data tracking to identify recurring failure trends, cutting repeat escalations by 15% through targeted process interventions. • Built a knowledge-base system by mining historical case data, reducing average handling time by ~20% and enabling faster, consistent triage across the team. • Designed a closed-loop customer feedback system from raw CSAT data, lifting satisfaction scores from 8.5 to 9.0/10 — later standardized across 3 team members. • Onboarded onto the HP Poly headset line (part of a $10B acquisition) and delivered cross-functional data integration within 60 days, maintaining a 95% quality benchmark throughout. → Skills applied: data pattern recognition · KPI tracking · structured reporting · insight extraction
Fiverr
Jul 20211 yr 5 mosNov 2022

Bengaluru

Delivered high-accuracy NLP data annotation for AI training pipelines across 18 months — building the unstructured data processing instincts that directly inform my ML feature engineering work today. • Processed and annotated large-scale unstructured audio datasets at 97% accuracy, contributing directly to NLP and speech recognition model training pipelines for multiple clients. • Engineered personal quality-control and data validation frameworks that reduced revision requests by ~25% while maintaining 100% on-time delivery across all 18 months. • Extracted structured, usable information from domain-specific noisy audio inputs — developing deep expertise in preprocessing unstructured data, a core skill in real-world ML feature engineering. • Managed end-to-end project delivery including scoping, QA, and client communication — building a reliable freelance track record that generated consistent repeat business. → Skills applied: Data labelling · NLP preprocessing · quality assurance · unstructured data processing · audio data processing

P’s AI Stack

hugging face
hugging face
langchain
langchain
ollama
ollama
openai
openai

Education

Woolf

Master of Computer Science, Specialization in Data Science, Machine learning & AI

Woolf

20242 yrs2026
Visvesvaraya Technological University

Bachelor of Engineering - BE, Electronics & communication Engineering

Visvesvaraya Technological University

20174 yrs2021

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Headline

Data Scientist | AI/ML Engineer | LLMs • RAG • Fraud Detection • Demand Forecasting • MLOps | 94% Precision • 99.5% Uptime | M.Sc. AI & ML (3.9/4.0)

About

I build systems that turn noisy, high-volume data into measurable operational outcomes. Not models in notebooks — production systems engineered to survive real-world data, scale under load, and deliver results a business can act on. What I've shipped: 🔹 Fraud Detection → 94% precision · 89% recall · 58% fewer false positives · 500K+ txns/day at <100ms · 99.5% uptime 🔹 RAG & LLM System → 87% retrieval accuracy · 99.2% response quality · 40% faster resolution · ~150 FTE hrs/week saved 🔹 Demand Forecasting → 91% accuracy (MAPE 9%) · 42% fewer stockouts · 28% less inventory cost · 1,000+ SKUs 🔹 A/B Experimentation Engine → 290,000+ users · O'Brien-Fleming monitoring · prevented a false deployment 🔹 Customer Segmentation → 250,000+ customers · 24% retention lift · 31% lifetime value increase Each built end-to-end — feature engineering, model training, deployment, monitoring, rollback — with the same rigor I'd bring to any live enterprise environment. What I bring: → Generative AI & RAG — LangChain, LlamaIndex, Pinecone, Agentic AI workflows → MLOps & Infra — Kubernetes, Docker, MLflow, Airflow, CI/CD, AWS EC2 → Stats & Experimentation — A/B Testing, Bayesian Inference, Causal Inference → Languages — Python, SQL, PySpark, TensorFlow, PyTorch, XGBoost M.Sc. Computer Science — AI & Machine Learning · GPA 3.9/4.0 I'm actively looking for Data Scientist, ML Engineer, and Applied Scientist roles where I own the full pipeline — from raw data to production model to measurable business outcome. If that's the problem your team is hiring for, let's talk. 📩 samsonsilvester07@gmail.com · 🔗 github.com/RedSamurai07

Location

Bengaluru

AI stack

hugging face

langchain

ollama

openai

Work experience

Data & Operations Analyst at HP, Nov 2022 - Feb 2024 · 1 yr 4 mos, Bengaluru, Drove data-led operational improvements across a large-scale enterprise support function — applying pattern recognition and structured analysis directly mirroring production ML workflows. • Analyzed 100+ monthly support cases using structured data tracking to identify recurring failure trends, cutting repeat escalations by 15% through targeted process interventions. • Built a knowledge-base system by mining historical case data, reducing average handling time by ~20% and enabling faster, consistent triage across the team. • Designed a closed-loop customer feedback system from raw CSAT data, lifting satisfaction scores from 8.5 to 9.0/10 — later standardized across 3 team members. • Onboarded onto the HP Poly headset line (part of a $10B acquisition) and delivered cross-functional data integration within 60 days, maintaining a 95% quality benchmark throughout. → Skills applied: data pattern recognition · KPI tracking · structured reporting · insight extraction

Data Annotation & NLP Specialist at Fiverr, Jul 2021 - Nov 2022 · 1 yr 5 mos, Bengaluru, Delivered high-accuracy NLP data annotation for AI training pipelines across 18 months — building the unstructured data processing instincts that directly inform my ML feature engineering work today. • Processed and annotated large-scale unstructured audio datasets at 97% accuracy, contributing directly to NLP and speech recognition model training pipelines for multiple clients. • Engineered personal quality-control and data validation frameworks that reduced revision requests by ~25% while maintaining 100% on-time delivery across all 18 months. • Extracted structured, usable information from domain-specific noisy audio inputs — developing deep expertise in preprocessing unstructured data, a core skill in real-world ML feature engineering. • Managed end-to-end project delivery including scoping, QA, and client communication — building a reliable freelance track record that generated consistent repeat business. → Skills applied: Data labelling · NLP preprocessing · quality assurance · unstructured data processing · audio data processing

Education

Master of Computer Science, Specialization in Data Science, Machine learning & AI, Woolf

Bachelor of Engineering - BE, Electronics & communication Engineering, Visvesvaraya Technological University