Production AI Systems
All solo-built, deployed, and serving real users — each solving a distinct set of enterprise problems.
SF-Assistant
Conversational AI Agent for SAP SuccessFactors
A 28-tool, 35-iteration agentic AI system that lets HR teams query employee data, troubleshoot permissions, diagnose workflow issues, and analyze org structures via natural language — replacing hours of manual SAP investigation with conversational answers.
Solo Builder — serving ~50 client companies in production
28
Tools
30+
OData Entities
2
Microservices
Key Features
- →28 AI-accessible tools across 5 domain modules (Employee, RBP/Roles, Query, Permissions, Automation)
- →35-iteration agentic loop with custom caching, retry logic, and response validation
- →~600-line system prompt with 16 embedded few-shot examples
- →Multi-browser session management with per-tenant isolation
- +4 more
Technical Challenges Solved
- →Two-service split specifically to isolate slow Selenium sessions (10–40s) from the AI chat service, enable independent scaling, and contain crashes
- →Per-tenant SAP session caching with thread-safe double-checked locking and auto-eviction/re-login
SFCodeBot
Multi-Service Enterprise AI Analytics Platform
A separate multi-service platform that turns raw test-automation logs and arbitrary Excel workbooks into natural-language-queryable, AI-analyzed data — with a hybrid FAISS+BM25+Claude retrieval stack and automatic model failover.
Solo Builder — serving ~50 client companies in production
4
AI Subsystems
15+
Chart Types
8
Pipeline Stages
Key Features
- →4 AI subsystems: Log Analysis, Excel Analytics, Data Manipulation, Knowledge-Base Generation
- →8-stage log-analysis pipeline: fetch → segment → preprocess → context → dedup → chunk → AI analyze → summary
- →Hybrid retrieval: FAISS + BM25 + Claude re-ranking for finding the right sheet among hundreds
- →4-stage Model Knowledge Generator that auto-infers foreign-key relationships via value-overlap
- +4 more
Technical Challenges Solved
- →Safe execution of LLM-generated code at production scale with automated self-repair
- →Multi-model failover with full cost tracking across all call types
ExcelSense-AI
Natural Language Excel Analytics Platform
A Streamlit-based analytics platform enabling natural language queries across 50+ Excel sheets with real-time AWS S3 and Google Sheets synchronization. Processes datasets up to 100MB with sub-3-second response times.
Solo Builder
<3s
Response Time
50+
Sheet Capacity
60%
Cost Reduction
Key Features
- →Natural language to optimized Pandas operations with comprehensive audit trails
- →Real-time sync with AWS S3 and Google Sheets
- →Processes datasets up to 100MB with <3s response times
- →Intelligent caching reducing per-query costs by 60%
- +2 more
Technical Challenges Solved
- →Query translation from natural language to optimized Pandas operations
- →Real-time synchronization across S3 and Google Sheets
PakLaw AI V3
Bilingual Legal AI Platform
A legal-tech platform with lawyer directory, RAG-based semantic search across 10,000+ Pakistani legal documents, in-app communication, and full English/Urdu bilingual support. Optimized to run on under 4GB RAM while achieving 92% OCR accuracy on complex multi-column court judgments.
Solo Builder — live with real user traffic
10,000+
Documents
<500ms
Query Latency
92%
OCR Accuracy
Key Features
- →Semantic search across 10,000+ Pakistani legal documents with <500ms average latency
- →Custom Urdu OCR preprocessing pipeline achieving 92% accuracy on complex court judgments
- →Hybrid BM25 + dense embedding retrieval improving precedent matching by 35%
- →Memory-optimized: reduced RAM from 16GB to 4GB through model quantization and efficient indexing
- +2 more
Technical Challenges Solved
- →Reducing RAM from 16GB to under 4GB through model quantization while maintaining accuracy
- →Custom Urdu preprocessing for Tesseract OCR on complex multi-column layouts
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