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Akhil Reddy
Status:BuildingDomain:AI Infra / Analytics / FintechStack:SQL · Python · Spark · APIs · LLM toolsMode:ANALYTICS_ACTIVEAccess:Public

I build real-time intelligence products where data visualization, ML insights, and engineering meet.

SQL + Python + Spark patterns · interactive analytics UX · predictive insight visualization · API-first services · agentic AI workflows

8+ yrs building decision systemsData Viz · Data Science · Data EngineeringPython, SQL, Spark, APIs, LLM tools, cloud data stacks
8+ years in data products and dashboard engineeringOwned analytics on $20B+ lending portfolioShipped AI-assisted decision tooling and narrativesBuilt APIs + workflow automation for analyst speed
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Featured work

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Grid Analyst

An intelligence cockpit for pricing telemetry: cohort drill-downs, historical replay, and AI-assisted what-if simulations with low-latency interactions.

Next.jsOpenAIinteractive telemetryA/B readouts
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Court IQ — Tactical Spacing

Vision + geometry analytics application: GPT-4o detects entities, then real-time overlays render control zones, matchup pressure, and actionable spacing insights.

GPT-4o visioncustom visualizationspatial analysisSVG
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Pricing Compliance Radar

Monte Carlo-driven compliance cockpit with real-time anomaly triage, confidence bands, product-level risk heatmaps, and pricing guardrail simulation.

risk analyticsMonte Carlo alertingcompliance telemetryNext.js
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Role fit: Senior Data Visualization + AI Systems

Portfolio evidence mapped to high-bar requirements across dashboard engineering, large-scale analytics, ML literacy, and AI agent orchestration.

Rapid dashboard prototyping and production UX

Grid Analyst ships interactive KPI strips, heatmaps, historical replay, and what-if simulation in a production-style interface.

Bridge ML outputs and executive decision workflows

What-if simulation, AI narrative generation, and confidence-driven visual summaries turn model behavior into action-ready recommendations.

Large-scale data + low-latency discovery

Portfolio demos emphasize speed-layer thinking, filtered cohort exploration, and query-efficient summaries over high-volume datasets.

AI agent workflows and orchestration services

Experience building MCP-based tool layers and LLM-assisted diff workflows that automate multi-step analysis with human review.

What I believe in

The principles behind how I build.

001 ·

Real-Time Decision UX

Design dashboards and intelligence surfaces that reduce decision latency, not just display charts.

002 ·

Petabyte-Ready Architecture Thinking

Combine speed-layer patterns with warehouse/lakehouse modeling so interactive experiences remain fast as data grows.

003 ·

ML + UX Bridge

Translate model outputs into intuitive interfaces: simulation controls, confidence views, and narrative summaries for non-technical stakeholders.

004 ·

Agentic Analytics Systems

Build tool-using LLM workflows and API-first services that automate multi-step analysis while keeping humans in the loop.