Architecture Field Notes & Roadmap
60 ProjectsFull-stack production customer solutions: bare-metal Python concurrency to autonomous multi-agents & vLLM Kubernetes platforms.
Automated Bank Statement & General Ledger Reconciliation Engine
To build an automated Python engine that parses multi-format statements (CSV, MT940, OFX), normalizes currency amounts with exact Decimal precision, matches transactions using a 2-stage exact and timing-window algorithm,
High-Throughput Telecom CDR (Call Detail Record) Parsing & Alerting Pipeline
To create a high-throughput, non-blocking asynchronous Python streaming pipeline that continuously ingests, sanitizes, and evaluates live Call Detail Records (CDRs) to detect regional call drops and roaming anomalies in
Omnichannel Retail Real-Time Inventory & Price Synchronization System
To implement an idempotent, event-driven inventory synchronization system in Python that enforces distributed locks with Redis and guarantees atomic stock updates and promotional price parity across all sales channels.
Public Procurement & Government Tender Opportunity Aggregator
To build an automated web scraper and notification pipeline that systematically crawls public procurement portals, extracts RFP requirements, estimates budgets, and delivers filtered tender alerts.
Banking Credit Card Spend Behavior & Transaction Outlier Analytics
To perform comprehensive statistical exploratory data analysis (EDA) and analytical SQL window queries across millions of card transactions to compute customer RFM (Recency, Frequency, Monetary) segments and detect trans
Telecom Cell Tower Congestion & Latency Distribution Analysis
To conduct rigorous statistical distributions analysis, empirical CDF estimation, and hypothesis testing (Kolmogorov-Smirnov & ANOVA) on cell tower packet latency telemetry to identify true bottleneck nodes.
E-Commerce Customer Cohort Retention & Lifetime Value (LTV) Modeling
To build an analytical cohort retention matrix and implement probabilistic customer lifetime valuation models (BG/NBD and Gamma-Gamma) to calculate customer churn hazard rates and forecast 12-month customer revenue.
Influencer Marketing Campaign Attribution & Engagement Statistics
To apply causal inference statistical techniques (Difference-in-Differences and Propensity Score Matching) on social video view metrics and e-commerce conversions to measure true incremental sales attribution.
Commercial Bank Loan Default Risk Scoring & Decisioning Pipeline
To train and deploy a cost-sensitive gradient boosted machine learning model (LightGBM/XGBoost) that predicts the exact probability of borrower default while using SHAP values to explain approval/rejection reasons.
Telecom Subscriber Churn Early Warning & Cost Optimizer
To develop an early-warning churn classification model that analyzes customer billing patterns, dropped call frequency, and customer service contacts to identify high-risk subscribers 60 days before contract expiration.
E-Commerce Dynamic Price Elasticity & Revenue Optimizer
To engineer an ML dynamic pricing model using CatBoost that models price elasticity of demand across catalog categories, factoring competitor price moves, stock levels, and seasonal trends under monotonic economic constr
Public Revenue & Corporate Tax Evasion Audit Priority Classifier
To develop a machine learning audit prioritization classifier that evaluates accounting anomalies, deduction ratios, and Benford's Law distribution compliance to rank tax returns by non-compliance risk.
Deep Autoencoder for Real-Time Credit Card Fraud Anomaly Detection
To construct an unsupervised deep autoencoder neural network in PyTorch that reconstructs normal transaction behavior and flags unseen fraud patterns based on latent space reconstruction error spikes.
5G Cellular Network Traffic & Bandwidth Forecaster using Stacked LSTMs
To build a stacked Long Short-Term Memory (LSTM) deep sequence network that forecasts hourly uplink and downlink traffic demand across regional base stations 24 hours into the future.
E-Commerce Visual Product Similarity & Search Embeddings Engine
To train a Vision Transformer (ViT) metric learning model in PyTorch using Triplet Loss that maps product photos into dense visual embeddings indexed in a FAISS vector database.
Graph Neural Network (GNN) for Social Network Community Churn Prevention
To train a Graph Neural Network (GNN) using PyTorch Geometric on user interaction graphs to identify influential community hub accounts and predict cascading network churn.
Financial Earnings Call Transcript Summarizer & Sentiment Analyzer
To fine-tune Hugging Face transformer models (Pegasus and BART) on financial corporate transcripts to automatically extract bullet-point executive summaries, forward-looking earnings guidance, and market sentiment.
Telecom Customer Support Ticket Auto-Categorization & Intent Classifier
To fine-tune a DistilBERT text classification model that reads customer complaints and automatically categorizes them into specialized resolution queues with associated urgency scores.
E-Commerce Customer Review Aspect-Based Sentiment Analyzer
To train a RoBERTa aspect-based sentiment model that extracts specific product feature mentions (e.g. 'battery life', 'zipper', 'shipping') and classifies the sentiment specifically associated with each attribute.
Public Procurement & Legal Contract Clause Risk Scanner
To deploy a fine-tuned LegalBERT token classification model that automatically parses lengthy contract PDFs and extracts high-risk clauses, uncapped liability terms, and missing regulatory requirements.
Automated Bank Check & ID Card OCR Information Extraction Pipeline
To build an end-to-end computer vision pipeline using PaddleOCR and OpenCV that rectifies document angle distortion, locates check MICR lines and ID card fields, and extracts verified digital text.
Drone Aerial Imagery Telecom Antenna & Cell Tower Defect Detection
To train an aerial computer vision model using YOLOv8 and SAHI (Slicing Aided Hyper Inference) to analyze high-resolution drone photos and detect antenna rust, cracked mounts, and bird nests.
Automated Supermarket Self-Checkout Real-Time Item Recognition
To deploy a real-time object detection and classification model (YOLOv11 with TensorRT) above self-checkout bagging scales that automatically identifies produce items and verifies item count.
Municipality Civic Road Damage & Pothole Detection System
To build an edge computer vision system mounted on municipal buses and street sweepers that uses YOLOv8 and ByteTrack to detect and GPS-tag road potholes in real-time.
Private Banking Client Financial Advisory & Portfolio Commentary LLM
To fine-tune an open-source LLM (Llama 3.3 / Qwen 2.5) using Unsloth QLoRA on financial research to generate personalized, compliance-checked client portfolio reviews and macroeconomic market summaries.
Telecom Conversational Virtual Assistant for Account Self-Service
To build a natural conversational LLM assistant that understands spoken customer complaints, retrieves account billing records via function calling, and executes plan upgrades or SIM resets in real-time.
E-Commerce Multilingual Product Catalog & High-Converting SEO Generator
To build a specialized generative AI pipeline that ingests raw supplier spec sheets and automatically generates persuasive, search-engine-optimized product listings localized across 5 languages.
Government Citizen Public Welfare Policy Simplifier & Navigator
To deploy a constrained generative AI assistant that translates complex public welfare policy statutes into clear, 6th-grade reading level eligibility summaries with personalized step-by-step application checklists.
Commercial Bank Mortgage Underwriting Policy Hybrid RAG Assistant
To build an enterprise hybrid RAG system combining dense vector search in Qdrant with BM25 keyword search and Cohere reranking to retrieve precise lending guidelines with source section citations.
Telecom Enterprise Client SLA Agreement & Incident RAG System
To develop a contract RAG assistant using LlamaIndex and LlamaParse that navigates complex tabular contract clauses and retrieves exact outage compensation and credit refund percentages.
E-Commerce Warranty, Return & Logistics Policy Customer Assistant
To build an in-memory vector RAG system that instantly answers customer return and warranty questions with exact merchant policy citations.
Municipal City Ordinances & Regulatory Statutes Knowledge System
To create a GraphRAG knowledge engine connecting municipal legal codes into a Neo4j knowledge graph with vector embeddings for multi-hop regulatory compliance discovery.
Natural Language Financial Database Analytics Assistant (LCEL)
To construct a LangChain Expression Language (LCEL) copilot that translates plain English financial questions into validated, read-only SQL queries with syntax self-correction.
Telecom SIM Activation & Roaming Troubleshooting Agent
To build a tool-calling LangChain agent connected to simulated telecom network APIs that autonomously troubleshoots ICCID errors, checks tower connections, and provisions temporary data passes.
E-Commerce Conversational Stylist & Shopping Cart Recommender
To build an interactive conversational shopping stylist agent using LangChain that tracks user session state in Redis, searches catalog inventory, and recommends personalized product bundles.
Social Media Content Strategy & Viral Hook Generator Chain
To build an automated content strategy agent using LangChain that researches trending industry news via search tools, drafts multi-platform content variants, and formats 30-day posting calendars.
Automated Mortgage Underwriting & Risk Evaluation Multi-Agent Syndicate
To orchestrate a stateful multi-agent syndicate using LangGraph where three specialized agents (Tax Auditor, Credit Officer, Property Assessor) review loan files in parallel with conditional human-in-the-loop approvals.
Telecom Billing Dispute Investigation & Refund Multi-Agent Graph
To engineer an autonomous cyclic state machine in LangGraph that audits call detail records, verifies contract fee waivers, auto-credits valid disputes under $50, and routes larger claims to managers.
E-Commerce Fraud Order Review & Dispute Resolution Multi-Agent
To build a multi-agent fraud investigation graph where IP Geolocation, Device Fingerprinting, and Cardholder Behavior agents investigate orders in parallel and cast votes on order release or cancellation.
Social Growth Viral Campaign Multi-Agent Syndicate
To create a LangGraph multi-agent studio where a Trend Researcher, Copywriter, and Brand Safety Evaluator iterate in a cyclic feedback loop until marketing content meets strict quality thresholds.
Bank Account Payables & Invoice Verification Governed MCP Agent
To build an autonomous finance-ops agent that uses the Model Context Protocol (MCP) to securely connect to ERP databases, verify invoice line items, and prepare payment authorization batches.
Telecom Network Incident Diagnostic & Remediation MCP Agent
To build an autonomous network remediation agent connected to cell tower routers via an MCP server that executes pre-authorized diagnostic and traffic rerouting commands safely.
E-Commerce Supplier Inventory & Purchase Order MCP Agent
To develop an autonomous procurement agent using FastMCP that queries supplier inventory APIs, calculates optimal reorder quantities, and drafts formatted purchase orders.
Government Citizen Identity & Benefits Verification MCP Server
To deploy a zero-trust Model Context Protocol server that provides authorized caseworkers' AI assistants with unified, role-based access to citizen records with automatic PII masking.
Financial Trading Ultra-Low Latency Inference with Triton Server
To engineer an ultra-low latency model serving cluster using NVIDIA Triton Inference Server and TensorRT FP16 quantization to serve high-frequency financial prediction models at sub-millisecond speeds.
High-Throughput Telecom Transcription & Analysis Serving Cluster
To build a high-throughput distributed serving cluster deploying Faster-Whisper and vLLM with PagedAttention to transcribe and extract customer sentiment across 500+ concurrent audio streams.
E-Commerce Peak Flash-Sale vLLM Serving Infrastructure
To deploy a distributed vLLM serving infrastructure with continuous batching and automatic prefix caching that reuses common product catalog KV-caches across incoming shopper queries.
Sovereign Air-Gapped Private Cloud LLM Serving Infrastructure
To design an air-gapped, zero-egress private cloud LLM serving infrastructure on local GPU servers deploying 4-bit AWQ quantized open-weights models (Llama 3.3 70B).
Bank Credit Scoring Automated Model Retraining & DVC Pipeline
To build an automated MLOps pipeline using DVC (Data Version Control) and MLflow that automates monthly credit model retraining, tracks dataset hashes, and logs full audit artifacts.
Telecom Churn Model Feature Drift & Concept Decay Monitor
To build an automated continuous monitoring service using Evidently AI that tracks incoming subscriber feature distributions (PSI and Wasserstein distance) and triggers alerts upon drift.
E-Commerce Recommendation Continuous Training (CT) CI/CD Pipeline
To build an automated Continuous Training (CT) CI/CD pipeline using GitHub Actions and Docker that ingests daily purchase logs, evaluates offline recommendation accuracy, and updates serving endpoints.
Public Sector AI Bias, Fairness & Ragas LLM Evaluation Suite
To build an automated LLMOps and ML evaluation suite using Ragas and DeepEval that benchmarks models for disparate demographic impact, faithfulness, and answer relevancy before release.
Core Banking Autonomous Incident Diagnosis & Self-Healing Platform
To deploy a cloud-native Kubernetes AI operator and Prometheus Alertmanager webhook that detects abnormal latency or memory spikes and autonomously executes safe canary rollbacks.
Telecom 5G Distributed Outage Prevention on KubeRay & Kubernetes
To build a distributed streaming analysis platform running Ray on Kubernetes (KubeRay) that ingests millions of telemetry events in parallel and predicts optical transceiver and power failures.
Global E-Commerce Resilient Multi-Region AI Gateway & Failover
To deploy an enterprise AI gateway using LiteLLM on Kubernetes that manages multi-provider fallback (OpenAI -> Anthropic -> Local vLLM), circuit breakers, and per-team token budgets.
Public Sector Zero-Trust AI Serving Platform on KServe
To build a zero-trust model serving platform on Kubernetes using KServe, Knative, and Istio service mesh that scales GPU pods to zero when idle and enforces mTLS encryption.
Autonomous GitHub PR Reviewer & Security Auditing Multi-Agent
Inspired by **Krish Naik's Advanced AI GitHub PR Reviewer**, this project implements an autonomous multi-agent review syndicate orchestrated with **LangGraph (Graph & Loop)**, dynamic diff context ingestion **(Context)**
Autonomous Financial Market Analyst & Trading Research Multi-Tool Agent
Inspired by **Krish Naik's Financial Multi-Agent & Multi-Tool Systems**, this project engineers an autonomous financial research agent. Leveraging tool-calling reasoning loops (ReAct), multi-source financial tooling (Yah
Enterprise Multimodal Hybrid RAG Deep Research Agent
Inspired by **Krish Naik's Multi-Agent RAG & Deep Research Masterclasses**, this project constructs an autonomous deep research agent. It integrates **Multimodal Document Parsing (ColPali / Unstructured)**, **Hybrid Vect
Omnichannel Customer Support Voice & Chat Agent with Persistent Memory
Inspired by **Krish Naik's End-to-End Production AI Agents with Long-Term Memory & FastMCP**, this project implements an omnichannel voice and chat agent. It couples ultra-low latency voice streaming **(Groq Whisper STT
Deploying Sovereign AI On-Premises: The Complete Architecture Blueprint
How to deploy air-gapped foundational models (Llama 3, Qwen 2.5, DeepSeek) inside regulated enterprise datacenters with vLLM, LiteLLM Proxy, and zero data leakage.
Building a Sub-Second Bank Cheque OCR Pipeline with Computer Vision & Fraud Scoring
Engineering an end-to-end computer vision pipeline for automated bank cheque verification: DBNet text detection, TrOCR handwritten recognition, MICR E-13B parsing, and fraud scoring in under 850ms.
Production Hybrid RAG with OpenSearch 2.19, LangGraph Agents & Redis Caching
Architecting a production hybrid RAG pipeline combining BM25 exact matching, dense vector embeddings with Reciprocal Rank Fusion, Redis semantic caching, and LangGraph self-corrective agents.