06/12/2026 updated
100 % available
Software Engineer - ML/AI Infrastructure Developer
Gujarat, Gandhinagar, India
Only remote
Bachelor of Engineering - Information TechnologyAbout me
AI/ML Engineer with experience in Generative AI, Computer Vision, and scalable ML systems. I specialize in turning AI concepts into production-ready solutions using Python, AWS, MLOps, and modern LLM frameworks, bridging the gap between research and real-world impact.
Application Programming Interfaces (APIs)Amazon S3Cloud EngineeringMachine LearningSoftware ArchitectureAzure Machine LearningNext.jsLarge Language ModelsApache SparkDeep LearningGenerative AIBackendPySparkTerraform
AWS Cloud & MLOps
Extensive hands-on experience designing and deploying scalable cloud-native AI solutions on AWS. Proficient with Amazon S3, Glue, Lambda, Athena, EventBridge, CloudWatch, IAM, EC2, ECS, and SageMaker. Experienced in infrastructure automation using Terraform, Docker, CI/CD pipelines, and production monitoring for machine learning systems.
Artificial Intelligence & Generative AI
Strong expertise in building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, LangChain, LangGraph, OpenAI APIs, Hugging Face, vector databases, and prompt engineering. Experience developing end-to-end AI solutions for enterprise automation and intelligent document processing.
Machine Learning & Data Engineering
Proficient in data processing and analytics using Python, SQL, PySpark, Apache Spark, Delta Lake, and ETL pipelines. Experienced in developing, training, and deploying machine learning models while managing large-scale data workflows and cloud-based ML infrastructure.
Computer Vision
Hands-on experience developing computer vision applications for architectural and engineering drawings using YOLOv5, U-Net, OpenCV, and deep learning frameworks. Built automated solutions for object detection, image segmentation, feature extraction, and document analysis.
Backend Development
Advanced Python developer with experience building scalable APIs and microservices using FastAPI, Flask, and RESTful architectures. Skilled in integrating AI/ML models, cloud services, and databases into production-ready applications.
Database & Data Storage
Experienced with PostgreSQL, MySQL, DynamoDB, vector databases, and AWS S3-based data lakes. Skilled in designing efficient data storage architectures, optimizing queries, and managing structured and unstructured data.
Web Application Development
Capable of developing modern web applications using React, Next.js, Streamlit, and API integrations. Experienced in building interactive AI dashboards, analytics platforms, and data-driven applications.
Tools & Technologies
Python, SQL, AWS, Docker, Terraform, Git, PySpark, Apache Spark, LangChain, LangGraph, OpenAI API, Hugging Face, FastAPI, React, Next.js, PostgreSQL, MySQL, DynamoDB, SageMaker, YOLOv5, OpenCV, CloudWatch, Langfuse, and Linux.
Languages
EnglishFluent
Project history
Architected RAG pipeline processing 50K+ documents, boosting extraction accuracy 42% while reducing processing time by 30%. Engineered high-performance PySpark + Delta Lake solution cutting query latency 35% on 200GB datasets. Applied Terraform IaC reducing AWS infrastructure deployment from 4 hours to 45 minutes.
Optimized weather data analysis pipeline, reducing API calls by 65% and saving $1,000 monthly in compute costs. Developed 100+ instruction prompts for LLM response calibration, improving context relevance by 40%.