Pargev Khachatryan
AI Engineer
5+ years exp
5+ years ML exp
Python
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Overview
Technical skills
Timeline
Roles
Overview
AI developer with 6 years of software engineering experience, including recent production work on LLM-powered systems. Builds backend architectures for AI services, including multi-step agents and RAG pipelines with evaluation and deployment safeguards. Has prior ML engineering experience implementing document intelligence with embeddings, semantic search, and inference optimizations using ONNX and quantization.
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Technical skills
Languages
1
Python
AI/ML
11
PyTorch
Transformers
Embeddings
ONNX
Quantization
LLM
Claude
Semantic Search
LangChain
LangGraph
Llama
DevOps
3
Docker
Rest API
CI/CD
Databases
3
pgvector
PostgreSQL
Qdrant
Other
7
FastAPI
vLLM
Git
AI Agents
RAG
Fine-tuning
Prompt Engineering
Timeline
AI Developer
•
Middle
NetFactory
•
Full-Time
Owned backend architecture for LLM-powered services exposed via FastAPI microservices for restaurant partners. Built a conversational agent for table booking and food ordering, and implemented a RAG system over menus, reviews, and policies using hybrid semantic and keyword retrieval. Integrated and A/B-tested commercial and open-source LLMs, including fine-tuning a Llama model, and added an automated evaluation harness to gate prompt and model changes.
LangChain
LangGraph
Qdrant
LLM
Llama
Fine-tuning
RAG
Semantic Search
Machine Learning Engineer
•
Middle
Aratech Solutions
•
Full-Time
Developed a document-intelligence service for a fintech client using embedding-based semantic search over a large corpus of contracts and invoices. Shipped an internal GPT-based knowledge assistant from prototype to production, and improved an ML inference pipeline by exporting to ONNX, applying quantization, and optimizing batching. Worked with PyTorch and Transformer models to support downstream search and classification.
PyTorch
Transformers
pgvector
Embeddings
Semantic Search
ONNX
Quantization
Python Backend Developer
•
Middle
Codewave LLC
•
Full-Time
Built and maintained backend REST APIs for a logistics SaaS used by a large daily user base. Worked with FastAPI and Docker-based deployments and owned CI/CD for containerized releases. Supported reliable service operation through backend API development and infrastructure automation.
Rest API
Docker
CI/CD