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Python
Cloud / Edge infra
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about.txt
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PLACEHOLDER
IMAN NAEEM
NUST SEECS · ISLAMABAD · Full-stack & systems, cloud & edge

Full-stack and systems engineer working across cloud and edge: data pipelines, ML infrastructure, and production APIs built to hold up under real load. My focus is correctness at the boundary: pipelines that can't leak the future into the past, webhooks that can't double-fire, backtests that don't lie. That discipline runs through everything I ship, from a live PSX equity-analysis platform tracking 6+ years of market data to TSAuditor, a time-series data-quality auditor now on PyPI, and a merged fix to statsmodels' ARIMA estimator.

TSAuditor.exe · Featured Release
TSAuditor time-series data-quality auditor · on PyPI
● tsauditor 0.1.2 · beta · live on PyPI

Most profiling tools treat rows as independent and miss what actually breaks time-series models: irregular timestamp frequency, non-stationarity, and features that quietly leak the future into the past. TSAuditor scans a DataFrame for exactly those problems, scores overall data health, and exports an audit-ready report, so nothing gets modeled until it's been checked.

leakage detection structural profiling anomaly checks data health report

Featured in Data Science Weekly, Substack Issue 657, plus mentions across numerous tech blogs.

$ pip install tsauditor
~/projects · details
NAMEDESCRIPTIONSTACK
OGDC Equity Analysis Platform Production analytics platform over 6+ years of PSX equity data: GARCH volatility modelling, Bollinger-Band backtesting, and sentiment analysis across 14 sources, served through a deployed React dashboard with strict train/test discipline to keep the backtests honest. Python · React · GARCH
IoT Sensor Anomaly Detection Anomaly detection service for NASA SMAP/MSL telemetry, running Isolation Forest and a rolling z-score baseline side by side, benchmarked against labelled ground truth and shipped as a reproducible container. Python · Docker
DevMetrics Self-hosted Git telemetry service: streams commit activity over SignalR in real time and exposes a Prometheus-compatible /metrics endpoint for dashboards and alerting in production. .NET 8 · SignalR
RelayCore Production webhook relay guaranteeing at-least-once delivery: Redis-backed idempotent dedup, JSONPath fan-out routing, HMAC-SHA256 verification, an SSRF guard, and a dead-letter queue for failed deliveries. Django · Redis
Image-Gen Prompts A/B Test Product-intelligence dashboard over 50K real generation events, answering the questions that actually move a roadmap: which model ships, where latency costs retention, and what drives prompt quality. Streamlit · scipy
OGDC Equity Analysis Platform
Production analytics platform over 6+ years of PSX equity data: GARCH volatility modelling, Bollinger-Band backtesting, and sentiment analysis across 14 sources, served through a deployed React dashboard with strict train/test discipline to keep the backtests honest.
Python · React · GARCH
IoT Sensor Anomaly Detection
Anomaly detection service for NASA SMAP/MSL telemetry, running Isolation Forest and a rolling z-score baseline side by side, benchmarked against labelled ground truth and shipped as a reproducible container.
Python · Docker
DevMetrics
Self-hosted Git telemetry service: streams commit activity over SignalR in real time and exposes a Prometheus-compatible /metrics endpoint for dashboards and alerting in production.
.NET 8 · SignalR
RelayCore
Production webhook relay guaranteeing at-least-once delivery: Redis-backed idempotent dedup, JSONPath fan-out routing, HMAC-SHA256 verification, an SSRF guard, and a dead-letter queue for failed deliveries.
Django · Redis
Image-Gen Prompts A/B Test
Product-intelligence dashboard over 50K real generation events, answering the questions that actually move a roadmap: which model ships, where latency costs retention, and what drives prompt quality.
Streamlit · scipy
open_source.log
statsmodels ● MERGED · PR #9811
Allow seasonal-differencing-only ARIMA models with non-seasonal estimators

Issue 6159 sat open since 2021. A restriction in statsmodels blocked ARIMA configurations that applied seasonal differencing without also requiring seasonal AR/MA terms. I traced it into the Hannan-Rissanen estimator, fixed the underlying constraint, and got it merged into main.

skills.sys
LANGUAGE / STACK USAGE
Python
JavaScript / React
C# / .NET
Java
ANALYTICS
pandas, NumPy, scikit-learn, scipy, statsmodels, Plotly, Streamlit, Recharts, GARCH, Isolation Forest
BACKEND
Django, Flask, .NET 8, SignalR, Celery, EF Core, OpenAPI 3.0
INFRA
Docker, Redis, Prometheus, PostgreSQL, MySQL, SQLite, GitHub Actions, PyPI packaging
WRITING
Technical blog posts, developer docs, dev.to/imann_12
next.exe
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Currently: bringing data-integrity discipline to fintech

Now applying that same discipline to fintech, where broken chronological continuity and subtle leakage don't just hurt accuracy, so they produce backtests that lie. Building reproducible pipelines for financial time-series, market-data ingestion, and risk & trading analytics, where every model trains on data that's been audited first.

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