Adarsh .

Adarsh .

India
Hire Adarsh . Hire Adarsh . Hire Adarsh .

About Me

MLOps & AI Infrastructure Engineer with over 6 years of experience architecting and deploying production-grade AI systems. Expert in bridging the gap between Machine Learning research and scalable cloud infrastructure using AWS SageMaker, Kubernetes, and Terraform. Proven track record in automating ML lifecycles—from high-throughput ETL pipelines with AWS Glue to real-time model inference using FastAPI. Passionate about optimizing model performance and infrastructure reliability in high-scale Agile environments.

AI, ML & LLM

Pytorch AI Model Intergration AI/ML

Frontend

Tailwind CSS Bootstrap CSS3 JavaScript HTML5 React React Redux Next.js

Backend

Flask Python Django FastAPI REST APIs

Database

PostgreSQL MySQL SQL CloudBees

DevOps

AWS S3 Kubernetes AWS EC2 Docker AWS Lambda CI/CD Pipelines AWS Amazon Web Services (AWS)

QA & Testing

Selenium jUnit UI Testing PyTest Functional Testing

Workflow

Github JIRA

Other

Firebase Graphql Distributed Systems Full Stack Development Amazon QuickSight Kafka LLaMA Agile Web App Development RESTFul APIs Recommender Engine Responsive UI spacy Cassandra Redux Scikit Learn Tensorflow UI Development SageMaker WebSocket

Work history

Jawam Infotech
Jawam Infotech
Full-stack Developer
2024 - Present (2 years)
Indore, India

  • Designed and implemented scalable web applications using Python (Django, FastAPI) and React, ensuring high performance and optimized user experience.

  • Integrating AI/ML models (TensorFlow, PyTorch, Scikit-learn) for predictive analytics and recommendation engines.

  • Enhancing distributed systems architecture and implementing advanced search/recommendation features.

  • Leading AWS deployments (Lambda, S3, EC2), ensuring system reliability.

  • Collaborating with cross-functional teams in Agile/Scrum environments and conducting code reviews and peer mentoring.

PythonFull Stack DevelopmentFastAPIDjangoReact Web App Development AI/ML AI Model Intergration TensorflowPytorchScikit LearnPredictive AnalyticsRecommender Engine Distributed SystemsSystem ArchitectureAWSAWS S3AWS EC2AWS Lambda Agile (Scrum) Code Review
ZecData
ZecData
Software Engineer
2022 - 2024 (2 years)
Indore, India

  • Developed and optimized back-end systems using Flask and FastAPI, building RESTful APIs consumed by large-scale web platforms.

  • Worked on real-time data processing pipelines using Kafka and integrated with cloud storage solutions.

  • Built interactive front ends using React, Redux, and Tailwind CSS, improving user engagement by 30%.

  • Contributed to AI-driven solutions for text classification and recommendation engines.

  • Improved system performance by migrating workloads to AWS and introducing Docker-based CI/CD pipelines.

PythonFlaskFastAPIRESTFul APIs Data Processing and Analytical PipelinesData pipelinesKafkaCloud Storage Interactive UI React ReduxTailwind CSSRecommender Engine Text Classification AWSDockerCI/CD Pipelines
Explore Tek
Explore Tek
Junior Full-stack Developer
2019 - 2022 (3 years)
India

  • Contributed to the design and development of client-facing web applications using Python (Django) and React.

  • Collaborated with clients to define requirements, ensuring timely delivery of scalable solutions.

  • Built data-driven dashboards and reports for business analytics using PostgreSQL and AWS QuickSight.

  • Implemented secure authentication and authorization mechanisms using JWT and OAuth.

  • Gained exposure to cloud deployments, containerization (Docker), and Agile methodologies.

PythonDjangoReact Web App Development Amazon QuickSightAnalytical Dashboards Business Analytics PostgreSQLOAuthJWTDockerAgile Methodologies

Showcase

Altysys Stock Analysis Platform
Altysys Stock Analysis Platform

Built scalable back-end APIs for real-time stock data and market insights. Developed a React-based UI with interactive charts and real-time predictions. Automated functional testing using Selenium and PyTest. Tech stack: Python, Django, Selenium, FastAPI, PyTest, SQL, AWS (Lambda, S3), Git, AWS QuickSight.

E-Auction App
E-Auction App

Designed a real-time auction system with live bidding and secure account management. Implemented AWS Lambda for auto-scaling back-end processes during peak usage. Tech stack: Python, Flask, React, REST APIs, MySQL, AWS, Lambda.

FoodVilla App
FoodVilla App

Replicated Swiggy-like functionalities (restaurant listings, cart, profiles). Built a React/Redux front end with real-time cart management. Automated UI testing using Selenium and designed responsive UI with Tailwind CSS. Tech stack: Python, Django, FastAPI, React, Redux, GraphQL, PostgreSQL.

Education

Education
B.Tech Electronics & Communication Engineering
India