About
Highly accomplished Software Engineer with over 3 years of experience specializing in scalable backend systems and machine learning applications. Proven expertise in developing high-performance backend services and ML pipelines, leveraging Python, Django, and advanced data processing frameworks. Seeking to apply and expand skills in scalable backend architecture, MLOps, and advanced analytics systems for data-intensive applications, driving significant business impact.
Work
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Summary
Led key backend and ML initiatives for SaaS platforms, driving significant improvements in data processing, system scalability, and client engagement for high-net-worth individuals.
Highlights
Spearheaded development of BAM and Realm, SaaS platforms managing over $50M in real estate portfolios for 100+ HNI clients.
Engineered scalable Python/Django backend architecture, boosting data processing speeds by 65% and accommodating 3x user load growth.
Developed an end-to-end automation pipeline for government PDF property detail extraction, leveraging TROCR (Transformers OCR) for captcha solving to achieve a 95% bypass success rate.
Built a comprehensive PDF extraction and OCR system, processing over 1000 documents with 92% accuracy by converting pages to structured text using LLM-based JSON generation via Google Gemini API.
Established efficient PostgreSQL database solutions and caching mechanisms, reducing real-time analytics dashboard query response time by 40%.
Created and deployed React/D3.js data visualization components, boosting client engagement with financial analytics by 35% and improving retention by 22%.
Constructed secure JWT and OAuth2 authentication protocols, eliminating security vulnerabilities and ensuring 100% compliance with financial data regulations.
Orchestrated automated testing and CI/CD pipelines with Jenkins, achieving 99.9% uptime and reducing deployment issues by 60%.
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Summary
Contributed to advanced ML and backend development, enhancing performance and reliability of systems for ADAS, LLM platforms, and XR applications.
Highlights
Architected ML-powered real-time depth estimation systems for ADAS applications across 5+ vehicle models, improving inference accuracy by 15% through PyTorch optimization.
Built and deployed production ML pipelines, processing over 8TB of data monthly for computer vision tasks and reducing model training time by 30%.
Led backend service development for Samsung's Code.i LLM platform, serving 250+ internal developers, reducing inference latency by 25% and improving model accuracy by 9%.
Constructed scalable data processing pipelines handling 10+ million entries daily, reducing processing time by 7% and saving approximately 420 compute hours monthly.
Formulated RESTful APIs and microservices for XR applications, impacting 15,000+ users with 40% reduced motion sickness and 28% increased session duration.
Established comprehensive CI/CD pipelines and monitoring for 12+ ML models, ensuring 99.8% service availability across production environments.
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Summary
Developed backend services and optimized data pipelines for time-series analysis solutions, supporting critical product analytics.
Highlights
Built backend services for time-series analysis solutions, processing over 10 million data points daily and supporting analytics for 3 major product lines.
Structured ETL data pipelines using Pandas and NumPy, accelerating historical data analysis by 45% and reducing memory usage by 32%.
Awards
World Rank 31, Xiaomi's Ode 2 Code 2021
Awarded By
Xiaomi
Achieved World Rank 31 out of 5,000+ participants, outperforming 99.4% of contestants in a programming competition.
World Rank 1316, Google Kick Start 2021 Round G
Awarded By
Achieved World Rank 1316 out of 10,000+ participants, placing in the top 13% globally.
Samsung Advanced and Professional Test
Awarded By
Samsung
Cleared the Samsung Advanced and Professional Test with a 92% score, ranking in the top 2% of 3,500+ test-takers.
Skills
Programming Languages
Python (5+ years), SQL (3+ years), C/C++ (3+ years), Java (2+ years), JavaScript (2+ years).
Backend Technologies
Django, Flask, RESTful APIs, GraphQL, PostgreSQL, MongoDB, Redis, Microservices Architecture.
Machine Learning
PyTorch, TensorFlow, Scikit-learn, Time-series Analysis, NLP, Computer Vision, MLOps.
Data Engineering
ETL Pipelines, Data Warehousing, Data Visualization, Real-time Analytics.
DevOps & Cloud
Docker, CI/CD Pipelines, AWS (SageMaker, EC2, S3), GCP, Linux Systems.