Asmi Panigrahi
@asmipanigrahi
Aspiring AI/ML engineer with a focus on innovative solutions.
What I'm looking for
I'm an aspiring AI/ML engineer currently pursuing my Master's in Computer Science with a concentration in AI/ML at Virginia Tech. My academic journey began with a B.Tech in Computer Science and Engineering, where I developed a strong foundation in machine learning and artificial intelligence. I have hands-on experience in developing and deploying AI solutions, particularly in real-time data processing and NLP.
During my internship at Radical AI, I successfully developed Flask-based web services for LLM-powered NLP models and integrated CI/CD pipelines that achieved 100% test automation coverage. My previous role as an ML Developer at Appisteme Private Limited allowed me to lead the development of low-latency AI inference pipelines, significantly improving API response times. I am passionate about leveraging technology to create impactful solutions and continuously seek opportunities to enhance my skills in the AI/ML domain.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Engineer Intern
Radical AI
Jun 2024 - Aug 2024 (2 months)
Developed Flask-based web services to serve LLM (GPT-3) powered NLP models as REST APIs, validating input/output data schemes. Integrated CI/CD pipelines using GitHub Actions to automate data validation scripts, achieving 100% test automation coverage. Designed and executed data profiling and reconciliation tests for a multi-document question-answering system, boosting forecast accuracy by 86%.
ML Developer
Appisteme Private Limited
Sep 2019 - Jul 2023 (3 years 10 months)
Founded and scaled a real-time data pipeline platform, implementing ETL testing routines to validate schema and data consistency pre-production. Led the development and deployment of low-latency AI inference pipelines using FastAPI, reducing API response time by 30% through optimized data handling. Built real-time analytics dashboards with Dash and Plotly to monitor data-quality KPIs, improving UX
AI/ML Intern
Bosontech IT Services Pvt Ltd
May 2022 - Jul 2022 (2 months)
Conducted anomaly detection using unsupervised learning to identify data outliers, decreasing false risk classification by 30%. Developed Python scripts to automate daily data integrity checks and generated reconciliation reports for stakeholders.
Education
Degrees, certifications, and relevant coursework
Virginia Tech
Master of Computer Science, Computer Science
Focused on Artificial Intelligence and Machine Learning, gaining advanced knowledge in these fields. Engaged in coursework and projects to deepen understanding of AI/ML concepts and applications.
Vellore Institute of Technology, Bhopal University
B.Tech. in Computer Science and Engineering, Computer Science and Engineering
Specialized in Artificial Intelligence and Machine Learning, building a strong foundation in computer science principles. Completed a comprehensive curriculum covering core concepts and practical applications in AI/ML.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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