Available to hire
Senior Full-Stack Engineer with 4+ years of experience designing and deploying high-scale systems and distributed microservices. Strong focus on Python (FastAPI/Django) and React/Next.js, with deep expertise in RAG-based pipelines, LLM orchestration, workflow automation, and cloud-native infrastructure.
Known for performance optimization, scalable data modeling, and turning emerging technologies into production-ready business solutions. Collaborative team lead with a track record of building reliable platforms, automating evaluations and reporting, and delivering measurable improvements in speed, responsiveness, and user engagement.
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Work Experience
Senior Full-Stack Engineer at Devsinc
October 1, 2024 - PresentIntegrated Gemini, OpenAI, Anthropic, and xAI models with BigQuery-based logging and model evaluation/authoring pipelines on Google Cloud. Led full-stack development of a scalable e-commerce platform using React, Next.js, Node.js, and GraphQL, improving UX and maintaining strong performance while mentoring a team of two engineers. Built data engineering pipelines for lead generation by collecting, enriching, and transforming customer and product data into high-quality datasets.
Designed scalable data workflows using GCP, BigQuery, Airflow, Data Fusion, and Looker Studio to improve data quality and deliver actionable analytics for business growth. Built an end-to-end Texas oil & gas wells data platform integrating multi-source datasets using Azure Data Factory and Airflow, modeling ownership and revenue insights in Azure SQL and Neo4j. Developed a FastAPI + Next.js analytics and CRM portal with KPI dashboards and implemented a RAG-based document generation pipeline for customized repor
Senior Software Engineer at Devsinc
October 1, 2024 - PresentIntegrated multiple LLM providers (Gemini, OpenAI, Anthropic, xAI) with BigQuery-based logging and automated evaluation workflows on Google Cloud to support scalable, reproducible model assessment. Led full-stack development of a high-scale e-commerce platform using React, Next.js, Node.js, and GraphQL while managing and mentoring a team of two engineers. Built data engineering pipelines for lead generation by collecting, enriching, and transforming customer and product data into high-quality datasets. Designed scalable data workflows using GCP services (BigQuery, Airflow, Data Fusion, Looker Studio) and improved data quality and business intelligence outputs. Developed an end-to-end analytics and CRM portal with FastAPI and Next.js, including KPI dashboards and well-level production insights. Implemented a RAG-based report generation pipeline to automate customized documentation for county officers using CRM and well data.
Software Engineer at Devsinc
May 1, 2023 - October 1, 2024Led a team of two engineers across end-to-end web application development, delivering responsive UI and robust backend capabilities. Implemented performance optimization features that reduced load times by 35% and improved responsiveness by 20%. Built REST APIs with Django Rest Framework to enhance frontend-backend communication for data retrieval and updates. Developed data ingestion and transformation workflows, including scraping and processing data with Pandas and exporting results to CSV. Utilized AWS services such as S3 (file storage), Lambda (serverless jobs), RDS (database), EC2 (deployments), and CloudWatch (monitoring). Worked on Next.js for improved SEO (meta tags and canonical URLs), integrated Stripe for recurring subscription payments, and contributed through code reviews, debugging, and collaborative development. Tech focus included Django Rest Framework, React/Next.js, PostgreSQL, Redis, Selenium, pytest, gunicorn, and celery.
Associate Software Engineer at Devsinc
March 1, 2022 - May 1, 2023Implemented caching strategies using Django Redis and optimized search/query performance to improve data retrieval efficiency by 30%. Collaborated on an LLM-based personalized content recommendation initiative, increasing user interaction and content consumption by 40%. Applied NLP (NER) using NLTK and spaCy to extract location entities from unstructured data. Built a data ingestion layer to import from sources such as Google Sheets and CSV files into the database. Improved React UI performance by 40% by addressing bottlenecks using Context API and React Hooks, and migrated the React frontend to Next.js with code refactoring and lazy loading to improve performance and SEO. Evaluated multiple LLMs using OctoAI, Hugging Face, and related tooling, and integrated third-party APIs for data parsing/transform. Added Google Analytics and Google Maps/Places API integrations, and maintained technical documentation to reduce onboarding time by 30%.
Education
Bachelors in Computer Science at University Of Engineering And Technology
January 1, 2018 - January 1, 2022Bachelors in Computer Science at University Of Engineering And Technology
January 1, 2018 - January 1, 2022Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Real Estate & Construction, Financial Services, Education
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