Haris.

Haris Tahir Rana

AI Engineer | Independent Problem Solver & Team Lead | LUMS CS

Overview

High-impact AI Engineer with a track record of building complex systems, from 97% accurate medical diagnostics to multilingual voice-AI for accessibility. Expert in the 'Plan-and-Execute' agentic pattern and custom backend logic, Haris balances a preference for deep, autonomous technical work with proven experience leading cross-functional teams of 5+ to deliver scalable products.

Lahore, Pakistan

Experience

2026 – May 2026

WORK

Teaching Assistant - Introduction to Arabic Language

Lahore University of Management Sciences (LUMS)

Served as the Teaching Assistant for the 'Introduction to Arabic Language' course, supporting student learning and managing administrative logistics.

•Held dedicated office hours to provide direct academic assistance.

•Managed daily attendance and participation tracking.

•Coordinated exam logistics and invigilation.

•Evaluated assignments and provided feedback on grammar and vocabulary.

Key Achievements

→Managed core administrative operations and supported student learning for the student cohort.

→Held dedicated office hours to provide direct academic assistance and clarify course concepts.

→Coordinated midterm and final exam logistics, including invigilation.

→Assessed and marked regular assignments, providing feedback on foundational vocabulary and grammar.

Feb 2026 – Apr 2026

WORK

Machine Learning Engineer

CLAPP HOSPITAL

Lahore, Pakistan

Developed an automated diagnostic system to classify hypernasal vs. normal speech patterns, implementing a speaker diarization pipeline to isolate 5,349 pediatric speech segments from 352 minutes of raw clinic audio and eliminate adult assessor voice interference. Engineered a 45-dimensional acoustic feature extraction pipeline optimized to 30 key diagnostic markers; implemented patient-level cross-validation to prevent data leakage and secure a 91.16% baseline classification accuracy. Selected XGBoost over CNN-based deep learning architectures for interpretability and robustness on a constrained dataset, then applied majority-vote aggregation across patient segments to lift diagnostic accuracy by ~3%, achieving 96.97% patient-level accuracy and 98.08% sensitivity on a 99-patient held-out test set.

•Developed an automated diagnostic system to classify hypernasal vs. normal speech patterns, implementing a speaker diarization pipeline to isolate 5,349 pediatric speech segments from 352 minutes of raw clinic audio and eliminate adult assessor voice interference.

•Engineered a 45-dimensional acoustic feature extraction pipeline optimized to 30 key diagnostic markers; implemented patient-level cross-validation to prevent data leakage and secure a 91.16% baseline classification accuracy.

•Selected XGBoost over CNN-based deep learning architectures for interpretability and robustness on a constrained dataset, then applied majority-vote aggregation across patient segments to lift diagnostic accuracy by ~3%, achieving 96.97% patient-level accuracy and 98.08% sensitivity on a 99-patient held-out test set.

Key Achievements

→Achieved 96.97% patient-level accuracy and 98.08% sensitivity on a 99-patient held-out test set.

→Secured a 91.16% baseline classification accuracy.

→Isolated 5,349 pediatric speech segments from 352 minutes of raw clinic audio.

→Achieved 96.97% patient-level accuracy and 98.08% sensitivity on a 99-patient held-out test set.

→Secured a 91.16% baseline classification accuracy.

→Isolated 5,349 pediatric speech segments from 352 minutes of raw clinic audio.

XGBoostCNNSpeaker DiarizationAcoustic Feature Extraction

Jul 2024 – Aug 2024

WORK

Full- Stack Web Developer Intern

ROZEE.PK

Lahore, Pakistan

Built a voice-enabled WhatsApp bot using Node.js and JavaScript that guided users through CV creation by asking questions via voice and processing multilingual voice responses. Used OpenAI and Azure Speech APIs for real-time voice-to-text and language translation, enabling inclusive access for users with limited literacy. Developed a separate chatbot-based CV builder using simple text messaging, integrated with via Laravel (PHP), to make resume creation intuitive and accessible for all users.

•Built a voice-enabled WhatsApp bot using Node.js and JavaScript that guided users through CV creation by asking questions via voice and processing multilingual voice responses.

•Used OpenAI and Azure Speech APIs for real-time voice-to-text and language translation, enabling inclusive access for users with limited literacy.

•Developed a separate chatbot-based CV builder using simple text messaging, integrated with via Laravel (PHP), to make resume creation intuitive and accessible for all users.

Key Achievements

→Architected a complex voice-to-voice pipeline: Speech-to-Text (Azure/OpenAI) -> Translation -> LLM Processing -> Back-translation -> Text-to-Speech -> WhatsApp API integration.

→Engineered the bot to handle end-to-end CV creation, successfully extracting and formatting all standard professional sections (Work History, Education, Skills) from unstructured voice conversations.

→Enabled global accessibility by implementing a multilingual translation layer, allowing users to interact in their native language while the LLM processed data in English.

→Optimized the end-to-end voice processing loop to deliver responses within 15-30 seconds, managing multiple API calls for transcription, translation, and synthesis.

→Achieved an end-to-end voice processing latency of 15-30 seconds per message for a complex multi-step AI pipeline.

Node.jsJavaScriptOpenAIAzure Speech APIsLaravelPHPWhatsApp API

Project Portfolio

PROFESSIONAL

Present

POWER ZONE INVENTORY MANAGEMENT SYSTEM

Lead Developer

Designed and deployed an end-to-end enterprise inventory platform to replace a legacy spreadsheet system, digitizing workflows from factory receiving to order fulfillment and reducing inventory mismatches and tracking errors by over 90%. Engineered a secure transactional database engine using atomic PostgreSQL functions, row-level locking, and Row-Level Security (RLS) to guarantee data integrity and enforce strict role-based access control across 8 distinct modules.

ReactTypeScriptNext.jsPostgreSQL

PERSONAL

Present

HEALTHSYNC

Team Lead & Lead Developer

Led a 5-member team to design and build a HealthSync, a mobile app prototype connecting patients with verified doctors. Developed a custom backend scheduling algorithm to manage complex appointment logic, ensuring zero overlapping slots and balancing doctor availability with patient preferences. Engineered a secure provider onboarding workflow using Firebase Storage for credential verification and integrated an AI chatbot for support.

React NativeTypeScriptDjangoMongoDBFirebase Storage

Code

PERSONAL

Present

TUBERCULOSIS DETECTION

Researcher / Developer

Designed and implemented a deep learning pipeline for automated TB detection, integrating UNet++ segmentation with SEResNet50 and Swin Transformer models trained on 5,000+ curated chest X-ray images across multiple public datasets. Achieved strong model performance with 99% classification accuracy (0.99 macro F1), a 96% Dice score (0.9173 IoU), and GradCAM++ explainability; authored a research manuscript documenting the methodology and findings.

PytorchGradCAM++UNet++SEResNet50Swin Transformer

Code

PERSONAL

Present

AGENTIC 10-K INTELLIGENCE SYSTEM

Developer

Built an automated Q&A and document ingestion pipeline for SEC 10-K filings, implementing semantic partitioning and HTML-to-Markdown table parsing to maintain financial data integrity and boosting RAGAS Faithfulness from 0.18 to 0.74 using various prompting techniques. Engineered an autonomous Plan-and-Execute research agent to track trends across 50 multi-year filings, integrating a custom Python-based calculator tool for precise ratio analysis and a summarization engine that delivered investment memos with a 4.39/5.0 G-Eval coherence score.

LangChainChromaDBGoogle AI StudioPython

Code

Education

Aug 2022 – Jul 2026

BSc ( Hons.) in Computer Science

Lahore University of Management SciencesSpecialization in Artificial Intelligence Specialization

GPA: 3.37

Relevant Coursework

Statistics

Aug 2020 – Jun 2022

A-Level

Lahore Grammar School

Relevant Coursework

3 A* 1 BSAT Score - 1510

Impact & Recognition

Professional Certifications

Datacamp

Power BI

Cisco

Data Analytics Essentials

IBM

AI Fundamentals

Patents & Publications

2025 · RESEARCH_PAPER

Tuberculosis Detection Research Manuscript

Authored a research manuscript documenting the methodology and findings of a deep learning pipeline for automated TB detection.

Governance & Advisory

FINTRA-LUMSSep 2023 – May 2024

Researcher

OTHER

Authored and published "How Can the Ehsaas Program Be a Financial Revolution for the Masses of Pakistan?" in Bottomline, FINTRA-LUMS's annual finance magazine, analyzing the program's economic impact, financial inclusion mechanisms, and effectiveness in poverty alleviation.

LAHORE GRAMMAR SCHOOLSep 2021 – May 2022

Student Council Prefect

OTHER

Organized and supervised major school events, including Society Fairs, Inter-School Competitions, Sports Fests, and Parent-Teacher conferences, engaging the entire 200+ student body.

Vision & Goals

Core Drivers

What are my motivations

Building high-accuracy AI systems for real-world impact

Solving complex logic puzzles (like scheduling algorithms)

Empowering others through teaching and mentorship

Skills & Interests

Python

TECHNICAL

Pytorch

TECHNICAL

Numpy

TECHNICAL

Pandas

TECHNICAL

Next.js

TECHNICAL

Git

TOOL

SQL

TECHNICAL

LangChain

TECHNICAL

Scikit-Learn

TECHNICAL

TypeScript

TECHNICAL

React

TECHNICAL

Google AI Studio

TOOL

MongoDB

TECHNICAL

React Native

TECHNICAL

Stata

TECHNICAL

Power BI

TECHNICAL

Communication

Working across multiple languages, enabling global collaboration and clear technical outreach.

English

Urdu

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