Shahriyar Khan

Lead ML Engineer

Bengaluru, Karnataka, India8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building intelligent systems using AI technologies.
Proven track record in AI product development and team leadership.
Strong analytical skills with a focus on data-driven insights.

Stackforce AI infers this person is a skilled AI Engineer with a focus on intelligent systems and data-driven solutions.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Retrieval-augmented Generation (rag)Natural Language Processing (nlp)Agentic Ai DevelopmentData Analysis

Other Skills

Team BuildingStatistical Data AnalysisStorytellingDeep LearningParsingLarge Language Models (LLM)Fine TuningData VisualizationData CleaningStatisticsAnalytical Skills

About

AI Scientist/Engineer focused on taking ideas from 0 to 1. I work on building intelligent systems that learn, reason, and adapt using Machine Learning, Deep Learning, LLMs, RAG and Agentic AI. I’m currently in my final year of Bachelor of Data Science at Christ University. Over time, I’ve gained valuable experience through internships, working at a startup and leading a small team, which helped me grow both technically and personally. Curious by nature, I enjoy building, experimenting and contributing to ideas that move AI forward.

Experience

8 mos

Total Experience

8 mos

Average Tenure

Current Experience

Hive pro, inc.

AI Engineer

Nov 2025 – Present · 6 mos · Dubai, United Arab Emirates

From the AI department, collaborating with the Threat Intelligence Team on use cases…

Laugh logic labs

AI Developer

Jun 2025 – Sep 2025 · 3 mos · Gujarat, India

Built an AI-powered tool that scrapes premium news sites and live Reddit discussions, emulates real browsers via Bright Data’s MCP for dynamic content handling, and converts insights into audio briefings with ElevenLabs, delivered in real time through a Streamlit dashboard.
Designed an AI pipeline for parsing PDF resumes using NLP to extract and structure key skills, programming languages, and tools, enabling automated skill profiling and data-driven recruitment decisions.

Retrieval-Augmented Generation (RAG)Agentic AI DevelopmentParsingNatural Language Processing (NLP)Deep LearningLarge Language Models (LLM)

Hubnex labs

AI/ML Engineer

Jan 2025 – May 2025 · 4 mos · Gurugram, Haryana, India

Implemented an automated interview evaluation system integrating Google Gemini Pro API for performance
assessment and Google Generative AI for automated analysis of interview responses and feedback generation.
Developed a structured data processing pipeline using Pydantic and JSON for efficient data handling and
designed an APA-formatted reporting system using ReportLab for comprehensive candidate evaluations.

Agentic AI DevelopmentNatural Language Processing (NLP)StorytellingFine TuningArtificial Intelligence (AI)Large Language Models (LLM)

Medtoureasy

Data Analyst

Oct 2024 – Oct 2024 · 0 mo · New Delhi, Delhi, India

Prepared and cleaned mortality data segmented by handedness to ensure accuracy in analysis.
Analyzed survival probabilities to uncover patterns and trends across handedness groups.
Designed clear and informative visualizations to compare mortality patterns effectively.
Synthesized findings to provide insights into the relationship between handedness and life expectancy.

Data VisualizationData AnalysisData Cleaning

Dataglimpse

Founding Member - AI

Mar 2024 – Dec 2025 · 1 yr 9 mos · Remote

– Contributing to AI-driven solutions, product development, and business growth strategies. Focused on data analysis, AI/ML integration, and client-centric innovations to drive impactful results. Passionate about leveraging technology for business efficiency and success.

Machine LearningTeam BuildingStatistical Data AnalysisStorytellingDeep LearningArtificial Intelligence (AI)

Google developer student clubs

AI ML - Member

Sep 2023 – May 2024 · 8 mos · Pune, Maharashtra, India · On-site

Actively learning and exploring AI and ML to build and enhance technical skills.
Excited to contribute to the learning journey and grow with the tech community.
Collaborating with peers to innovate and solve problems in the world of technology.

Machine LearningArtificial Intelligence (AI)