FARAIH.
Kanvis
F

FARAIH NAZAR

Junior AI/ML Engineer | RAG Specialist | Building AI for Legal & Business Automation

Hiring? Every applicant arrives already interviewed.

Overview

Junior AI/ML Engineer specializing in RAG architectures and automated data pipelines. I've built production-grade systems ranging from multi-agent legal assistants for Pakistani law to live WhatsApp business chatbots. With a background in architecting resilient ETL pipelines and deploying ML models for demand forecasting, I bridge the gap between complex data and actionable AI solutions. Proven leader through roles at UETXNews and the New York Academy of Sciences.
Lahore, Pakistan

Experience

WORK

Intern

ISPR (Inter-Services Public Relations)
Pakistan
Worked within Pakistan's primary military media and communications institution.
•Worked within Pakistan's primary military media and communications institution.

Key Achievements

→Normalized highly varied product data from 10+ fashion brands via API extraction to enable consistent semantic search results.
→Built and evaluated ML models for pricing analysis and demand forecasting using feature-engineered datasets from travel and e-commerce sources.
→Engineered resilient web scrapers and ETL pipelines across 5+ platforms, handling pagination, layout drift, and schema variation.

2025 – 2026

WORK

Junior AI/ML Engineer

Acceleration Limited
Architected and maintained RAG pipelines across multiple knowledge bases: document ingestion, chunking, embedding generation, vector indexing, and retrieval-grounded response generation. Built and evaluated ML models for pricing analysis and demand forecasting using feature-engineered datasets from travel and e-commerce sources. Engineered resilient web scrapers and ETL pipelines across 5+ platforms, handling pagination, layout drift, and schema variation to deliver consistent data feeds. Collaborated directly with stakeholders to translate business requirements into deployed APIs and measurable product improvements.
•Architected and maintained RAG pipelines across multiple knowledge bases: document ingestion, chunking, embedding generation, vector indexing, and retrieval-grounded response generation.
•Built and evaluated ML models for pricing analysis and demand forecasting using feature-engineered datasets from travel and e-commerce sources.
•Engineered resilient web scrapers and ETL pipelines across 5+ platforms, handling pagination, layout drift, and schema variation to deliver consistent data feeds.
•Collaborated directly with stakeholders to translate business requirements into deployed APIs and measurable product improvements.

Key Achievements

→Architected an automated normalization pipeline using OpenAI API to standardize schemas for 200,000+ product listings across 10+ brands, enabling consistent semantic search results.
→Built and evaluated ML models for pricing analysis and demand forecasting using feature-engineered datasets from travel and e-commerce sources.
→Engineered resilient web scrapers and ETL pipelines across 5+ platforms, handling pagination, layout drift, and schema variation.
RAGML modelsETLWeb ScrapingAPIsVector Indexing

Project Portfolio

PERSONAL

Present

Conflict Detection & Resolution System

Developer

A web-based team collaboration tool that automatically detects and resolves project conflicts - covering resource contention, scheduling overlaps, dependency clashes, task duplication, and communication gaps - and surfaces AI-assisted resolution suggestions or allows manual resolution with full audit reports. Built an MCP integration layer providing unified SSO, MFA, and role-based access control across multiple project environments from a single central server.
MCP IntegrationSSOMFARBACAI-assisted resolution
ACADEMIC

Present

Cognitive Learning Using AI

Researcher/Prototyper

Drove prototyping and experimentation within a global student research team, turning AI-driven learning concepts into testable, working demos.
AI-driven learning
PERSONAL

Present

Verdict System: AI Legal Assistant for Pakistani Law

Developer

A web app where law students type a legal question in plain language and receive cited, context-grounded answers drawn from Pakistani legal texts. Engineered a custom OCR pipeline to digitize and index historical government legal documents, enabling RAG-based retrieval from sources that were previously inaccessible. Currently a research-focused prototype with a focus on expanding the indexed legal corpus.
Multi-agent RAGLocal LLMVector SearchStreamlitOCR
PERSONAL

Present

Fashion Discovery Engine (Semantic Search)

Developer

Built a web-based fashion search engine that lets users find clothing across multiple brands using natural language. Engineered an automated normalization pipeline using OpenAI API to standardize schemas for 200,000+ product listings across 10+ brands, ensuring consistent and accurate semantic retrieval.
Semantic SearchWeb ScrapingData Ingestion PipelineSimilarity SearchOpenAI APIETL
PERSONAL

Present

WhatsApp Business Knowledge Assistant

Lead Developer

A live WhatsApp chatbot on Meta's official Cloud API that provides automated, source-grounded answers to customer queries. Integrated with a fashion discovery engine to support semantic product searches (e.g., "show me black silk outfits"), citing sources in every reply. Supports full multi-turn conversation context and falls back to web search when internal knowledge is unavailable.
WhatsApp Cloud APIMeta Cloud APIRAGWeb Search IntegrationSemantic Search

Education

Jun 2027

BS Computer Science

University of Engineering & Technology, LahoreSpecialization in Computer Science

Societies & Activities

UETXNews

Governance & Advisory

UETXNews

Director

OTHER

Led the interviews & podcast team, overseeing content direction and team coordination.

New York Academy of Sciences (NYAS)2023 – 2024

Team Lead

OTHER

Led a 5-member international student research team on AI-driven cognitive learning initiatives.

Vision & Goals

Core Drivers

What are my motivations

Building reliable AI systems for legal and public sectors

Mastering RAG evaluation frameworks and AI reliability

Skills & Interests

Vector Search

WhatsApp Cloud API

Web Scraping

Prompt Engineering

Python

Pandas

RAG

LangChain

Streamlit

Model Training & Evaluation

Feature Engineering

NumPy

Data Cleaning

Git

SentenceTransformers

SQL

Embeddings

Retrieval Tuning

Agent Orchestration

Qdrant

FastAPI

EDA

Pipeline Automation

ETL

Selenium

BeautifulSoup

REST APIs

scikit-learn

Docker

MongoDB Atlas

FAISS

Schema Standardization

Playwright

Matplotlib

Seaborn

Plotly

Crawlee

Let's Connect

I'd love to hear from you. Feel free to reach out.

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