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Hello! I’m Salman Khan, an AI/ML Engineer who loves turning data into practical, scalable solutions. I’ve built production-ready systems across computer vision, semantic search, and collaborative recommendations, working closely with product teams to ship features that users rely on daily. I thrive in fast-paced environments, continuously learning and applying new techniques in LLMs, vision, and data engineering to boost accuracy and performance while keeping systems robust and maintainable.…Hello! I’m Salman Khan, an AI/ML Engineer who loves turning data into practical, scalable solutions. I’ve built production-ready systems across computer vision, semantic search, and collaborative recommendations, working closely with product teams to ship features that users rely on daily. I thrive in fast-paced environments, continuously learning and applying new techniques in LLMs, vision, and data engineering to boost accuracy and performance while keeping systems robust and maintainable.

Salman Khan

AI Engineer, Data Scientist, Full Stack Developer, +3

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Hello! I’m Salman Khan, an AI/ML Engineer who loves turning data into practical, scalable solutions. I’ve built production-ready systems across computer vision, semantic search, and collaborative recommendations, working closely with product teams to ship features that users rely on daily. I thrive in fast-paced environments, continuously learning and applying new techniques in LLMs, vision, and data engineering to boost accuracy and performance while keeping systems robust and maintainable.…Hello! I’m Salman Khan, an AI/ML Engineer who loves turning data into practical, scalable solutions. I’ve built production-ready systems across computer vision, semantic search, and collaborative recommendations, working closely with product teams to ship features that users rely on daily. I thrive in fast-paced environments, continuously learning and applying new techniques in LLMs, vision, and data engineering to boost accuracy and performance while keeping systems robust and maintainable.

Available to hire

Hello! I’m Salman Khan, an AI/ML Engineer who loves turning data into practical, scalable solutions. I’ve built production-ready systems across computer vision, semantic search, and collaborative recommendations, working closely with product teams to ship features that users rely on daily.

I thrive in fast-paced environments, continuously learning and applying new techniques in LLMs, vision, and data engineering to boost accuracy and performance while keeping systems robust and maintainable.

Skills

Experience Level

Expert

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Work Experience

AI Engineer at Wenawa Solutions

February 1, 2025 - Present

Developed production-ready PDF AI Assistant using LangChain, HuggingFace embeddings, and multiple LLM integrations (Google Gemini, Ollama), achieving 92% query accuracy with 45% faster response times. Automated intelligent query resolution to reduce customer support costs by 37%.

Machine Learning Engineer at Instant Solutions Lab

September 1, 2024 - January 1, 2025

Engineered synthetic data generation pipelines using LLaMA-3.3 70B and GPT for low-resource language models, reducing data acquisition costs by 85%. Developed compact neural networks achieving ~92% performance of larger models with 75% faster inference for edge devices. Conducted quantitative analysis on 10+ million rows of financial data to develop predictive stock price models with time series analysis and algorithmic trading strategies; implemented backtesting framework with 23% improved returns over baseline.

Data Science Intern at IT Lands

May 1, 2024 - August 1, 2024

Developed custom LLM-based chatbot using GPT-4, Retrieval-Augmented Generation (RAG), and FAISS vector embeddings, improving customer query resolution by 21%. Led data analysis projects applying statistical methods and machine learning models to extract business insights from large datasets.

AI Engineer at 7C Tech

May 1, 2025 - October 1, 2025

Led Social Image Recognition System by building an Instagram image recognition pipeline with Python, FastAPI, TensorFlow, TF-IDF and Gemini API, achieving 90% accuracy; developed a deep-learning model for category prediction and tag extraction from image URLs; built a TF-IDF embedding and similarity-search pipeline to retrieve top-80 contextually similar images; integrated Gemini Vision API for automated product matching from the company catalog. Also delivered a RAG-based semantic search engine for fashion products (MXBAI-Large-Embed, Fashion-CLIP, Qdrant, pgvector) with query normalization to improve accuracy and migrated to Fashion-CLIP + Qdrant achieving 85% precision. Engineered a collaborative recommendation system with 93% accuracy using TF-IDF, Qdrant and FastAPI, including a two-step similarity pipeline and production-grade REST APIs with filtering and history support.

AI Engineer at Wenawa Solutions

September 1, 2024 - August 1, 2025

Developed production-ready PDF AI Assistant using LangChain, HuggingFace embeddings, and multiple LLM integrations (Google Gemini, Ollama), achieving 92% query accuracy with 45% faster response times; reduced customer-support costs by 37% through automated intelligent query resolution system.