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SYS.INIT // NAGA
Turning data, systems, and ML into decision-ready products.
A compounding arc from commercial analytics into data infrastructure and applied AI systems.
Trajectory
Commercial analytics -> infrastructure -> applied AI
Geographic arc
India -> Germany -> USA
Story cue
Each role expanded the systems surface, not just the title
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Operating Profile
Not one narrow title track — a compounding arc from commercial analytics through data infrastructure into applied AI systems.
Signal Profile
7+ Years
Data → Systems → Applied ML
India
Germany
USA
Started close to commercial analytics, sales tracking, and KPI definition. That foundation expanded into engineering data pipelines, ETL automation, and building infrastructure-capable systems. Today, my work is heavily focused on applied ML execution—specifically pushing search ranking, fraud decisioning, and evaluation-heavy algorithmic workflows into production environments.
Current State
MS in AI, Univ of North Texas
Experience
7+ Yrs: Analytics to Applied AI
Geographies
India → Germany → USA
Through-Line
KPI models to ML product systems
Differentiator
Commercial grounding
Anchored in business reality. Early exposure to sales pipelines shaped a habit of evaluating models strictly against operational KPIs and business-cost tradeoffs.
Differentiator
Systems progression
Built to scale. Transitioned from static BI into building the actual async scoring architectures, streaming ETL pipelines, and robust backbones that serve decisions.
Differentiator
Applied ML execution
Production over prototypes. Focused on deploying learning-to-rank search and fraud scoring systems with rigorous offline evaluation and strict latency budgets.
Capability Network
A connected career map showing how each company, project, and systems layer compounds into the next step of the story.
Trace how experience nodes turn into systems, flagship builds, and role alignment rather than reading the profile as disconnected bullets.
Work ExperienceSystemsProjectsOutcomes + Roles
Career Journey
A date-driven narrative arc across India, Germany, and the USA, showing how each phase compounded the next move.
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IndiaTransition
Career Transition
Career break
Career break
Timeline
Mar 2021 - Apr 2022
Evidence
Career transition and reset period.
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Featured Builds
Six flagship repositories spanning discovery systems, search relevance, model optimization, experimentation, fraud decisioning, and authenticity tooling.
DATA PLATFORM // DISCOVERY SYSTEM
Data PlatformSearch Infrastructure
Dataset Discovery Platform
DuckDB-backed dataset discovery system with a FastAPI API, background worker, and seeded local browser demo.
Selected Proof
DuckDB catalogFastAPI + workerSeeded local demo
Architecture Cue
DuckDB catalogFastAPI APIBackground workerStatic UI
Signal
Shows practical data-platform design with clear service boundaries, reproducible local setup, and a recruiter-safe demo surface.
SEARCH RELEVANCE // RANKING SYSTEM
Search RelevanceRanking Systems
Product Search / Retrieval / Ranking Platform
Local-first Amazon ESCI search system spanning retrieval, hybrid ranking, offline LTR evaluation, and a thin inspection UI.
Selected Proof
NDCG@10 0.3753Hybrid P50 120 msLTR top-60
Architecture Cue
BM25 + vector retrievalHybrid fusionOffline LTRInspection UI
quality
NDCG@10 0.3753
latency
Hybrid P50 120 ms
Signal
Strong search relevance signal across retrieval, ranking, serving, and explicit quality-latency tradeoff decisions.
MODEL OPTIMIZATION // EFFICIENCY
Model OptimizationEfficiency Engineering
Structured CNN Pruning / Guardrails
Structured CNN pruning evaluated against explicit overall and per-class accuracy guard rails, latency, MACs, and compression tradeoffs.
Selected Proof
70.1% params reducedUp to 2.05x speedupAccuracy guard rails
Architecture Cue
Accuracy guard railsGlobal pruningLatency tradeoffsReporting path
compression
70.1% params reduced
speedup
Up to 2.05x
Signal
Shows disciplined model optimization under deployment-aware constraints rather than top-line accuracy alone.
EXPERIMENTATION // DECISION SYSTEM
Experimentation SystemsDecision Policy
GrowthLab Experimentation Platform
Config-driven experimentation system that turns YAML contracts into synthetic data, trust checks, analysis, policy decisions, and a Streamlit demo.
Selected Proof
YAML contractsTrust before decisionStreamlit demo
Architecture Cue
YAML contractsSimulatorTrust layerDecision engine
Signal
Demonstrates full analytics-to-decisioning workflow design, not just isolated experiment analysis.
RISK DECISIONING // ONLINE ML
Risk DecisioningOnline ML Systems
Fraud Risk Decisioning Platform
Production-style fraud system with async scoring, policy rules, review workflow, monitoring, and threshold optimization.
Selected Proof
p95 21.66 msHoldout PR AUC 0.4808Policy + review loop
Architecture Cue
Event intakePolicy engineAsync scoringReview queue
latency
p95 21.66 ms
model
PR AUC 0.4808
Signal
Strong ML systems signal combining serving, policy logic, analyst workflow, and business-loss optimization.
MEDIA AUTHENTICITY // APPLIED AI
Media AuthenticityApplied AI Tooling
Watermark Lab / Authenticity Scanner
Applied media-authenticity toolkit combining watermarking, provenance checks, forensic heuristics, and authenticity scan artifacts.
Selected Proof
Authenticity scan CLIHTML + JSON outputsProvenance + forensics
Architecture Cue
Authenticity scan CLIProvenance checkForensic heuristicsHTML + JSON outputs
Signal
Differentiated applied AI work with modular system design and conservative, reproducible supported scope.
Role Translation Matrix
Not three separate identities — one capability base translated across roles.
How the same capability base translates across adjacent role families.
Data Scientist
analytics + evaluation- Analytics foundations and decision support
- Evaluation rigor and offline metrics
- Threshold and business-cost reasoning
Data Engineer
systems + pipelines- Pipelines, storage, and data flow design
- Async services and workflow architecture
- Retrieval, indexing, and infra-adjacent systems
AI/ML Engineer
retrieval + applied ML- Retrieval, ranking, and ML system design
- Fraud scoring and applied model serving
- Compute efficiency and pruning
Global Footprint
Professional arc and global exposure across India, Europe, and the US.
Core Infrastructure
Delhi, IndiaHyderabad, IndiaBengaluru, IndiaBerlin, GermanyDenton, Texas, USA
Closing Signal
Let's build the systems that make AI work.
Available for full-time roles across data, ML, and decision systems — based in DFW and open to on-site, hybrid, or remote opportunities across the U.S.
nc.lonestar.tx@gmail.comAnalytics → Systems → Applied MLSearch / RankingDecisioning Platforms
© 2026 Sai Naga Chaithanya Aavula
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