Shanmukha Sai Dheeraz Chavali
MSc Data Science @ ETH Zürich & EPFL · Building intelligent systems at the intersection of ML, quantitative finance, and scalable data engineering.
The engineer behind the systems
Shipping production ML at the intersection of research, finance, and scale
I am a Data Science MSc student jointly at ETH Zürich and EPFL, specializing in machine learning, NLP, and large-scale data systems. My work spans from building enterprise-grade RAG pipelines and LLM evaluation frameworks to designing predictive models for financial risk and quantitative research.
With 3+ years of industry experience at Qube Research & Technologies, Accenture, Philip Morris International, and the University of Basel, I have shipped production ML systems on AWS, built graph-based knowledge retrieval engines, and led cross-functional analytics projects that drove measurable business impact.
I am passionate about the convergence of AI and quantitative finance - designing systems that are not only technically rigorous but also deliver real-world value at scale.
Shanmukha Sai Dheeraz Chavali
MSc Data Science · ETH Zürich & EPFL
Based in
Lausanne, Switzerland
Open to quant, ML & data-science roles globally. Working across Geneva, Zurich, Lausanne & Basel.
Roles that shipped measurable impact
Aug 2026 - Present · Geneva, Switzerland
Qube Research & Technologies
Quantitative Research Intern
- Quantitative Research Intern in the Research department at Qube Research & Technologies (QRT), a global multi-strategy investment manager
- Working in Geneva at the intersection of data, research, technology, and trading expertise
Mar 2026 - Aug 2026 · Lausanne, Switzerland
Philip Morris International
Data Science & Artificial Intelligence Engineer
- Contributed to machine learning, Agentic AI, and intelligent automation initiatives within a global industrial environment
Feb 2025 - Jan 2026 · Basel, Switzerland
University of Basel
Research & Teaching Assistant
- Spearheading interdisciplinary AI-humanities research integrating LLMs into historical scholarship
- Built graph-based RAG pipeline (Neo4j + LangChain) improving context retrieval accuracy by 40%
Nov 2024 - Feb 2025 · Basel, Switzerland
University of Basel (SNSF Project)
Research Assistant
- Developed scalable NLP pipelines (HuggingFace, spaCy) for sentiment analysis and topic modeling
- Designed multimodal ML models (TensorFlow, PyTorch) for cross-platform trade analysis
Feb 2022 - Aug 2024 · Bengaluru, India
Accenture
Advanced Application Engineering Sr. Analyst
- Built predictive analytics pipeline on AWS (S3, Glue, Redshift, SageMaker) generating $60K/quarter savings
- Designed Amazon Connect + Salesforce integration saving $40K/quarter in licensing costs
- Automated patient voice query documentation system saving $30K/quarter
May 2021 - Dec 2021 · Chennai, India
Indium Software
Junior Data Engineer
- Designed hybrid vector-graph search system with 85% precision improvement
- Reduced storage costs by $25K/month via S3 intelligent tiering
Quantitative Research Intern
- Quantitative Research Intern in the Research department at Qube Research & Technologies (QRT), a global multi-strategy investment manager
- Working in Geneva at the intersection of data, research, technology, and trading expertise
Data Science & Artificial Intelligence Engineer
- Contributed to machine learning, Agentic AI, and intelligent automation initiatives within a global industrial environment
Research & Teaching Assistant
- Spearheading interdisciplinary AI-humanities research integrating LLMs into historical scholarship
- Built graph-based RAG pipeline (Neo4j + LangChain) improving context retrieval accuracy by 40%
Research Assistant
- Developed scalable NLP pipelines (HuggingFace, spaCy) for sentiment analysis and topic modeling
- Designed multimodal ML models (TensorFlow, PyTorch) for cross-platform trade analysis
Advanced Application Engineering Sr. Analyst
- Built predictive analytics pipeline on AWS (S3, Glue, Redshift, SageMaker) generating $60K/quarter savings
- Designed Amazon Connect + Salesforce integration saving $40K/quarter in licensing costs
- Automated patient voice query documentation system saving $30K/quarter
Junior Data Engineer
- Designed hybrid vector-graph search system with 85% precision improvement
- Reduced storage costs by $25K/month via S3 intelligent tiering
Production systems & research
Hand-picked work — each solves a hard, measurable problem
Enterprise RAG Pipeline (AWS Bedrock)
Semantic chunking + custom re-ranking RAG system on AWS Bedrock Knowledge Bases, reducing hallucination by ~40% with contextual guardrails.
Financial Risk Analytics Automation
End-to-end Python tool automating multi-source time-series ingestion, ensemble risk modelling, and LLM-powered memo generation into reproducible Plotly dashboards.
Graph-RAG Historical NLP
Neo4j + LangChain graph-based RAG enabling multi-hop reasoning across ancient scholarly texts, improving retrieval accuracy by 40% over keyword search.
Deepfake Detection Pipeline
Hybrid CNN-LSTM (ResNeXt-101 + BiLSTM) pipeline achieving 89% accuracy on FaceForensics++, robust to StyleGAN3 and diffusion-based attacks.
Predictive Maintenance System
Ensemble model (XGBoost + Random Forest + TFT) on multivariate sensor time-series, reducing false failure alerts by 35% with full reproducible pipeline.
Semantic Segmentation on Satellite Imagery
U-Net + EfficientNet-B7 achieving 92% mIoU on LandCover.ai; 40% training acceleration via FP16 mixed precision. Full W&B experiment tracking.
Technical, quantitative & engineering stack
Python
Java
C++
SQL
TypeScriptAcademic foundation
A rigorous curriculum across three European universities
Key Courses
Academic coursework
A rigorous curriculum spanning foundations, machine learning & applied AI
15 courses
Let’s build something
Open to internship opportunities in Quant Research, ML Engineering, Data Science