09/06/2026 updated
100 % available
AI & Software Engineering Student | Python, LLM/RAG, Full-Stack Development
AHMEDNAGAR, India
Only remote
B.Tech CSE (AI/ML Honours) - PursuingJavaScriptPython (Programming Language)React.js
AI & Machine Learning
Expertise in building agentic AI systems, LLM/RAG applications, and data pipelines. Proficiency in Machine Learning, Deep Learning, NLP, Computer Vision, and working with large language models such as Google Gemini and Claude 3.5 Sonnet.
Python & Backend Development
Strong programming skills in Python, with hands-on experience using FastAPI and Node.js for backend development. Experience building full-stack products from prototype to deployment, including REST APIs and enterprise cloud platforms.
Data Engineering
Practical experience with data engineering tools including Apache Spark (PySpark), Delta Lake, Databricks, Azure Data Factory, and Blob Storage. Skilled in building data pipelines and handling incremental data updates for efficient processing.
Web Development
Hands-on experience with React.js, Node.js, and JavaScript for building full-stack web applications, including SEO-optimized platforms and interactive financial dashboards.
Databases
Proficiency in MongoDB, MySQL, Supabase, and database design, with experience integrating databases into full-stack and AI-driven applications.
SQL
Solid knowledge of SQL for data querying, management, and integration within data engineering and application development workflows.
Tools & DevOps
Familiarity with Git/GitHub, Docker, Linux, CI/CD pipelines, Tableau, and Power BI for version control, containerization, and data visualization.
IoT & Embedded Systems
Experience designing and building AI/IoT systems integrating ESP32 sensors and ESP32-CAM with real-time analysis using MediaPipe, as demonstrated in the Smart Study Desk project.
Workflow Automation & ServiceNow
Hands-on experience building and testing automated workflows using Flow Designer, validating logic across multiple edge cases, and working with enterprise cloud platforms.
Expertise in building agentic AI systems, LLM/RAG applications, and data pipelines. Proficiency in Machine Learning, Deep Learning, NLP, Computer Vision, and working with large language models such as Google Gemini and Claude 3.5 Sonnet.
Python & Backend Development
Strong programming skills in Python, with hands-on experience using FastAPI and Node.js for backend development. Experience building full-stack products from prototype to deployment, including REST APIs and enterprise cloud platforms.
Data Engineering
Practical experience with data engineering tools including Apache Spark (PySpark), Delta Lake, Databricks, Azure Data Factory, and Blob Storage. Skilled in building data pipelines and handling incremental data updates for efficient processing.
Web Development
Hands-on experience with React.js, Node.js, and JavaScript for building full-stack web applications, including SEO-optimized platforms and interactive financial dashboards.
Databases
Proficiency in MongoDB, MySQL, Supabase, and database design, with experience integrating databases into full-stack and AI-driven applications.
SQL
Solid knowledge of SQL for data querying, management, and integration within data engineering and application development workflows.
Tools & DevOps
Familiarity with Git/GitHub, Docker, Linux, CI/CD pipelines, Tableau, and Power BI for version control, containerization, and data visualization.
IoT & Embedded Systems
Experience designing and building AI/IoT systems integrating ESP32 sensors and ESP32-CAM with real-time analysis using MediaPipe, as demonstrated in the Smart Study Desk project.
Workflow Automation & ServiceNow
Hands-on experience building and testing automated workflows using Flow Designer, validating logic across multiple edge cases, and working with enterprise cloud platforms.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluent
Project history
Built an agentic AI financial advisor that interprets user intent, identifies missing context, and reasons through multi-step financial scenarios. Implemented Retrieval-Augmented Generation (RAG) and semantic search over user-uploaded financial documents using Google Gemini. Built an interactive financial dashboard with SIP/EMI/tax calculators, budget, investment, loan, and insurance tracking. Deployed a full-stack app on Vercel with a Supabase backend and voice interaction.
Completed an 8-week hands-on Data Engineering program covering Python, SQL, Apache Spark (PySpark), Delta Lake, and Databricks. Built data pipelines and Azure Data Factory workflows with Blob Storage, and handled incremental data updates using Delta Lake for efficient processing.
Designed and built an AI/IoT smart desk system for posture, distance, and study-environment monitoring, integrating ESP32 sensors and ESP32-CAM with real-time posture analysis using MediaPipe. Built a live analytics dashboard with posture timelines and distance tracking via Supabase, and implemented Firebase Cloud Messaging alerts that reduced prolonged unhealthy posture duration by approximately 35%.