Amir Khan
Python Developer | AIML | Data Analyst | Data Science | Python • SQL • MongoDB • Django • FastAPI • Flask • Tableau • Power BI • Excel • GenAI • LLM • RAG • AWS (EC2, S3, Event Bridge)
- Role
- Python Developer at Applore Technologies
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Amir Khan
Hi this is Amir!With 2 years of professional experience as a Python Developer and creating Restful APIs, I bring a strong foundation in working with data to support informed decision-making, optimize operations, and uncover actionable insights. My work involves transforming complex information into clear, impactful solutions that align with business goals.Key strengths include:Advanced proficiency in Python (Pandas, NumPy, Seaborn, Matplotlib) for scripting, automation, and data explorationHands-on expertise in SQL for querying, data modeling, and database operationsRest API on Django, Fast API and Flask to create a bridge between backend and frontend systemsDevelopment of interactive dashboards and reports using Power BI, Tableau, and Excel to drive visibility and performance trackingEffective at capturing and translating stakeholder requirements into measurable outcomesStrong understanding of Agile workflows, experienced with Azure DevOps for project and task managementFamiliarity with ETL pipelines, API integration, and working with structured/unstructured dataExposure to predictive analytics using tools like scikit-learn for regression and classification tasksTools & Tech Stack: Python, SQL, Power BI, Tableau, Git, Jupyter, Excel, Azure DevOps, REST APIs, Django, FastAPI, Kafka, Exploratory Data Analysis and Feature Engineering.Domains: Tech, NetworkingI value clean, scalable solutions and continuous learning. Always open to collaborating on data-centric challenges that drive real-world impact.
Experience
Python Developer
Sep 2025 — Present · Noida, IN
As a Python Developer, I work on cutting-edge Generative AI solutions, building intelligent agents using LLMs and Retrieval-Augmented Generation (RAG). I specialize in integrating real-time communication via LiveKit and deploying scalable AI systems on AWS. Key Responsibilities-> Develop and maintain GenAI-powered agents using LLMs (OpenAI, Hugging Face) and RAG pipelines-> Train, test, and debug AI agents to ensure performance, accuracy, and reliability-> Collaborate with cross-functional teams including product, design, and data science-> Integrate real-time communication using LiveKit to support voice-enabled AI assistants-> Build scalable APIs and services in Python, leveraging modern AI frameworks. AWS & Data Expertise-> Handle data operations using MongoDB and cloud storage with Amazon S3-> Build event-driven systems using AWS Lambda, EventBridge, and serverless patterns-> Deploy and monitor services on EC2 and design secure, scalable architectures-> Implement CI/CD pipelines and cloud monitoring with best practices. Highlights-> Successfully deployed production-ready AI agents with real-time capabilities-> Optimized RAG pipelines for faster and more accurate AI responses-> Improved infrastructure scalability and cost-efficiency using AWS-native tools.
Education
Jamia Millia Islamia
Bachelor of Technology - BTech, Civil Engineering
Jamia Millia Islamia
Master of Technology - MTech, Environmental Science
Scaler
Master's degree, Computer Science
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