SK

Open to opportunities

Sharyar Khalid

@sharyarkhalid

I build production AI and data systems for legal, retail, and customer-service workflows.

What I'm looking for

I'm looking to build production AI, data, and analytics solutions that turn complex business workflows into secure, deployable products, collaborating closely with stakeholders from discovery through technical handover.

At Xavia Solutions, I deliver AI-powered workplace-investigation solutions and led Call Sense, a multilingual audio-intelligence platform supporting transcription across 99 languages, translation, sentiment analysis, speaker diarization, and agent-performance analytics.

I architected Kolabrya.ai for workplace-investigation and personal-injury lawyers, combining document intelligence, meeting insights, case analysis, and dynamic report generation. My work includes secure ETL pipelines for sensitive legal data, domain-specific NLP workflows, legal AI assistants, document redlining, and structured legal reports exceeding 200 pages.

Previously at CEE Solutions, I deployed YOLO-based retail quality-control models that improved SKU detection accuracy by 25% and automated recurring Tableau reporting for 5+ clients, reducing reporting effort by 40%.

I translate business workflows into deployable AI, data, backend, and analytics products using LLMs, RAG, Python, ETL pipelines, APIs, dashboards, and cloud platforms.

Experience

Work history, roles, and key accomplishments

XS

Current

AI and Data Engineer

Current

Xavia Solutions

Oct 2024 - Present (1 year 10 months)

Delivered AI-powered workplace-investigation solutions using open-source and commercial LLMs, reducing case-analysis and report-generation time by 35%. Architected secure ETL pipelines with data masking, encryption, and validation for sensitive legal data, supporting GDPR-aligned processing.

LLM RAG NLP ETL Data Masking Encryption Python fastAPI Docker AWS Azure GCP

Education

Degrees, certifications, and relevant coursework

NF

National University of Computer and Emerging Sciences (FAST)

Bachelor of Science, Computer Science

2019 - 2023

Grade: 3.42

Activities and societies: Competitions Head, ACM AI (2023); Boot Camp Instructor, ACM AI (2023); Deputy Event Manager, Procom (2023)

Bachelor of Science in Computer Science with a CGPA of 3.42. Final year project developed an ontology-assisted Islamic hate-speech detection system using CNN and RNN classifiers, achieving 85-92% accuracy.

Tech stack

Software and tools used professionally

GitHub

MySQL

PostgreSQL

MongoDB

Neo4j

Redis

Java

FastAPI

Wireshark

SQL

LangChain

LlamaIndex

Ollama

AutoGen

Pinecone

Synthesized

Haystack

Instructor

Agentic

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