Aayush
Noida, Uttar Pradesh, India
Experience: 4 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: BigQuery, Databricks, Django, Docker, GCP, Git, Jenkins, Jira, Jupyter Notebooks, Kafka, Kubernetes, LLMs/ChatGPT, Matplotlib, MySQL, Notion, NumPy, pandas, PostgreSQL, PowerShell, PySpark, Python, Python3, scikit-learn, TensorFlow, Unix
Previously worked at: Fortune 500, IT Service Companies
Assessment Score: 100
- Professional Experience
Software Developer with over 3 years of experience specializing in designing, developing, and enhancing scalable microservices and data-driven applications. Proficient in integrating cutting-edge technologies like GenAI, cloud platforms, and advanced machine learning workflows within enterprise environments. - Educational Background
Holds an M.Tech in Data Analytics (CGPA: 8.8/10) from the prestigious Indian Institute of Technology (IIT), Dhanbad and a B.Tech in Computer Science Engineering (CGPA: 7.9/10) from Jaypee University of Information Technology. Demonstrates a strong academic foundation in data analytics, algorithms, and software engineering principles. - Technical Expertise
Possesses proficiency in a broad array of technologies, including Python, Apache Spark, APIGEE, SQL, MLflow, Dash/Plotly Visualization, and Machine Learning. Skilled in tools for data orchestration (e.g., Airflow) and beginner-level expertise in cloud platforms like Google Cloud Platform (GCP) and Confluent Cloud. - Key Achievements in Software Development
Developed a microservice for handling big data pipelines in a commercial product (DEXAM), integrating with Kafka, ADLS, and Big Query for seamless data processing. Delivered GenAI-powered solutions for multi-team applications, enhancing efficiency in large-scale deployments. Played a pivotal role in integrating AWS, GCP, and ADLS storage systems with data marketplace platforms. - Leadership & Collaboration
Served as a Subject Matter Expert (SME) for integrating Apache Spark, Airflow, and ML lifecycle tools into enterprise frameworks. Mentored new team members and led cross-functional team designs, showcasing strong leadership and collaborative abilities across client and internal projects. - Research Contributions
Advanced expertise in synthetic data generation through dissertation work on Generative Adversarial Networks (GANs) during M.Tech, with a focus on replicating real-world tabular data. Previous B.Tech project involved designing optimized emergency logistics algorithms tailored for challenging terrains.