
Maria Hashmi
@mariahashmi1
I build AI-powered and full-stack products, from production RAG systems to real-time computer vision pipelines.
What I'm looking for
I've built production-oriented AI systems at Exdion Solutions, fine-tuning LLMs to improve response accuracy by 15% and deploying RAG architectures with AWS Bedrock.
I also developed 100+ REST APIs and supported cloud-native delivery through AWS CodePipeline, CodeBuild, S3, IAM, GitHub, Postman, Jira, and Agile sprint workflows.
At Vehnicate, I engineered real-time lane-detection pipelines with YOLO and OpenCV, using dashcam, GPS, and IMU data to balance inference speed and accuracy. For Doctors for a Cause, I led development of its official mobile-first website, delivering 10+ responsive pages.
I'm a Computer Science undergraduate at VIT Chennai who enjoys turning AI ideas into useful products, including ColonyGuard, Inceptico, and Echo. My work spans Python, React, computer vision, generative AI, UX prototyping, and secure data-transmission research.
Experience
Work history, roles, and key accomplishments
Technology Intern
Exdion Solutions Pvt. Ltd.
May 2026 - Jul 2026 (2 months)
Fine-tuned LLMs to improve response accuracy by 15% and developed end-to-end training and inference pipelines. Collaborated on RAG architectures with AWS Bedrock and built 100+ REST APIs.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science and Engineering
2024 -
Grade: 8.76
Pursuing a B.Tech in Computer Science and Engineering with a current GPA of 8.76.
La Martiniere for Girls
Indian School Certificate, General Studies
2009 - 2024
Grade: 92.5%
Completed Indian School Certificate (ISC) with 92.5% and Indian Certificate of Secondary Education (ICSE) with 93.8%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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