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How I Solve Problems

Real examples of how I identify root causes, redesign systems, and deliver reliable production outcomes

Overview

About Myself

The story of how I grew into a DevOps and backend engineer who owns problems from root-cause analysis to production deployment.
I'm a DevOps and backend engineer with about 3 years of hands-on experience across the full delivery lifecycle — from writing backend systems and fixing performance bottlenecks, to building CI/CD pipelines and making on-call survivable. I started as a frontend developer, moved into backend and SRE work, and I'm now full-time DevOps at InfoZ IT Services where I own deployment pipelines, cloud cost optimization, and infrastructure reliability. What I enjoy most is finding the root cause of things — whether it's a broken pipeline, a slow query, or a noisy alert system — and fixing it properly, not just patching it. I tend to own things end-to-end, and I don't consider a problem solved until it stops coming back.

Career Milestones

InfoZ IT Services
DevOps Engineer

Rebuilding Broken Deployment Pipelines

Inherited pipelines that regularly broke on releases. Rebuilt them with staged rollouts and automated rollbacks. Deploy failures dropped to near-zero in the first month.

InfoZ IT Services
DevOps Engineer

Cloud Cost Optimization — 40% Waste Found

Audited infrastructure and found 40% of instances were oversized or idle. Right-sized compute and introduced scheduled scaling — cut costs without impacting availability.

InfoZ IT Services
DevOps Engineer

Making On-Call Survivable

Replaced vague alerting with structured, threshold-tuned monitoring. MTTD went from user-reported to under 5 minutes.

LDM College
Technical Lead

Building a College ERP from Scratch

Architected a zero-trust, edge-secured Academic ERP (library, attendance, finance) serving 500+ daily users, eliminating dual-fee data anomalies and NoSQL injection vectors.

LDM College
Technical Lead

Exam Submission: 8 Seconds → Under 1 Second

Identified synchronous DB writes as the bottleneck under peak load. Moved to batched async inserts.

LDM College
Technical Lead

Full Table Scans → Instant Page Loads

Rewrote heavy queries doing full table scans. Added composite indexes and materialized views.

HCL Technologies
SRE

Eliminating Recurring SEV-2 Incidents

Inherited a system with 3+ SEV-2 incidents per week. Focused on root causes instead of faster restarts.

HCL Technologies
SRE

200+ Alerts/Day → Under 20 Actionable

Overhauled alerting rules that had become pure noise. Restored trust in the monitoring system.

Personal Project
Personal Project

AI CommodityChain — Real-Time Market Intelligence

Built a commodity intelligence platform — live data feeds, local 70B LLM, context-aware analysis, Pearson correlation matrix across global energy and metal markets.

Technical Deep Dives

AI CommodityChain — Real-Time Market Intelligence
★ Lead With This

AI CommodityChain — Real-Time Market Intelligence

Built a commodity intelligence platform combining live price feeds, locally-hosted 70B LLM, context-aware analysis, and a dynamic correlation engine — all with 60-second data latency.

Cloud Infrastructure Automation Platform

IaC solution using Terraform and AWS CDK for provisioning secure, highly available multi-account cloud environments with drift detection and automated rollback.

Enterprise Web Scraper — 10,000+ Products Tracked

Replaced manual, inconsistent competitor data collection with a Scrapy + Selenium pipeline tracking 10,000+ products continuously — structured for real analysis, not raw dumps.

AI Trend Analyzer Pipeline

Automated data pipeline that scrapes tech sources, processes content via custom LLMs to extract emerging trends, and surfaces insights on a real-time dashboard.

Sales Reporting — From Manual Excel to Automated Pipeline

Sales Reporting — From Manual Excel to Automated Pipeline

Replaced manual Excel-dependent reporting with a Python pipeline (Pandas + OpenPyXL) delivering consistent, decision-ready reports automatically.

Serverless Microservices Architecture

Scalable backend leveraging AWS Lambda, API Gateway, and DynamoDB with asynchronous event-driven queues and zero-maintenance operations.

Email Marketing — From Batch Blasts to Behavior-Triggered

Replaced fixed-schedule campaigns with a behavior-triggered system using SendGrid API — making campaigns adaptive without increasing manual effort.

Kubernetes CI/CD Deployment Engine

Full CI/CD pipeline with GitHub Actions and ArgoCD. Zero-downtime Blue/Green deployments with automated health checks and rollback triggers.

API Integration Framework — Write Error Handling Once

Built a reusable Flask-based integration layer that standardizes external API connections — handling retries, JSON/XML parsing, and error handling once so every integration inherits reliability by default.

Document Management — Rule-Based Auto-Organization

Built a rule-based file categorization system using regex — replacing unstructured file storage with automatic organization that handles edge cases like conflicts and duplicates explicitly.

Social Media Suite — Centralized, Reliable, Analytical

Replaced fragmented manual social posting with a centralized system using Selenium and platform APIs — with scheduling, cross-platform reliability, and analytics feedback loop.

Experience Quick Reference

The one-line version of every role story
SituationAngleImpact
Broken pipelines at InfoZRebuilt with staged rollouts + auto-rollbackNear-zero deploy failures
Cloud overspendAudited + right-sized + scheduled scaling40% instances were waste
Noisy monitoring at InfoZThreshold-tuned, silenced noiseMTTD: user-reported → 5 min
ERP from scratch at LDMArchitected for bursty load500+ DAU, still running
Exam submissions slowAsync batched DB writes8s → under 1s
Slow DB queriesComposite indexes + materialized viewsPage loads instant
SEV-2s at HCLRoot cause analysis, not just restartsRecurring incidents eliminated
Alert noise at HCLAudit + retune + runbooks200+ alerts → under 20
AI CommodityChainContext injection + local LLMGrounded, real-time analysis

Project Quick Reference

The one-line version of every project story
ProjectProblemDecisionResult
AI CommodityChainHallucinating AI financial toolsContext injection from live dataGrounded analysis, 60s latency
Enterprise Web ScraperManual, stale competitor dataScrapy + Selenium dual-engine10,000+ products tracked reliably
Sales DashboardManual inconsistent Excel reportsRepeatability-first pipelineConsistent, decision-ready reports
Email AutomationGeneric batch campaignsEvent-based triggers + SendGridTargeted, adaptable campaigns
API FrameworkRebuilding integrations from scratchReusable adapter + failure-firstHours not days per integration
Document ManagementUnstructured file storageRule-based + edge case handlingConsistent, searchable storage
Social Media SuiteFragmented manual postingAPI + Selenium + analytics loopReliable cross-platform scheduling

Universal Questions

What would you do differently?
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Tell me about a failure.
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How do you prioritize when everything is on fire?
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