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Python Engineer with 3+ years in FastAPI & Data Pipelines
Backend Developer with 3.8+ years of experience building scalable systems using Java, Spring Boot, Python, FastAPI, and Spark-based data pipelines. Strong expertise in microservices, connector development (Databricks, Snowflake, Redshift, S3), workflow engines, and high-volume API integrations. Skilled in Docker, MySQL, MongoDB, and writing reliable, production-ready backend services with clean code and optimized performance. Known for fast delivery, problem-solving, and improving system efficiency.
Dr. APJ ABDUL KALAM TECHNICAL UNIVERSITY UTTAR PRADESH
B.Tech/B.E.
August 1, 2017 – June 30, 2021
CBSE
12th · English
N/A – May 31, 2017
CBSE
10th · English
N/A – May 31, 2015
Trace Ai
Backend Python Developer
February 1, 2025 – Present
India
Routine Ai
Backend Developer
July 1, 2022 – February 1, 2025
India
National Institute of Information Technology (NIIT)
Internship
March 24, 2021 – May 24, 2022
India
Diabetic Retinopathy Detection (Python)
March 1, 2025 – June 1, 2026
Engineered a machine learning-based system using the Inception V3 model for detecting diabetic retinopathy, demonstrating the capability to identify the condition at early stages and potentially aiding in early diagnosis and prevention of vision loss. Utilized the EyePACS and APTOS 2019 publicly available datasets for model training and evaluation. Fine-tuned the pre-trained InceptionV3 model with a custom classification layer including a GlobalAveragePooling2D layer, followed by two fully connected layers with ReLU activation and a SoftMax layer. Achieved 74.28% accuracy and 73.81% F1 score on EyePACS, and 81.61% accuracy and 80.21% F1 score on APTOS 2019
Program in Full Stack Software Engineering (SE)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans multiple companies (Trace Ai, Routine Ai, NIIT) and includes both backend development and a personal machine learning project, indicating adaptability and a proactive learning attitude. The breadth of technologies listed (Python, Java, Spark, AWS, Azure, Docker, MongoDB, RabbitMQ, Angular, React.js) suggests a willingness to work across different stacks and environments. The focus on building scalable, efficient, and reliable systems aligns with common industry best practices and a results-oriented culture. The personal project also shows initiative and a passion for technology beyond direct work requirements. The target role of 'Python Engineer' is well-aligned with the candidate's primary experience and listed skills.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, fast delivery, and improving system efficiency, which are positive indicators for operational fit. The descriptions of implementing robust logging, retries, and error-handling suggest a focus on production-readiness and reliability. The experience with workflow engines and automation implies an ability to design and manage complex processes. However, without specific psychometric or communication test results, a deeper assessment of soft skills like teamwork, stress handling, and direct communication clarity is limited.