Aditya Shankar Prasad
@adityashankarprasad
Engineer specializing in AI/ML, data engineering, and scalable backend systems.
IndiaWhat I'm looking for
I am an engineer with 4+ years of experience building production-grade AI/ML systems, high-speed ETL pipelines, and distributed microservices. I focus on delivering scalable, cloud-native architectures and reliable data platforms in fast-paced startup and enterprise environments.
I have designed and deployed NLP/LLM systems including RAG and retrieval prompt engineering, and implemented ML-based recommendation models using user behavior and clickstream signals. I’ve reduced ingestion pipeline times dramatically through optimized scraping and ETL.
My hands-on expertise spans Python, FastAPI, Kafka, AWS, Docker, and Kubernetes, and I have led teams to deliver secure microservices, frontend components, and observability improvements. I have experience implementing CI/CD, automated testing, and SRE practices to improve uptime and reliability.
I hold an M.Sc. in Big Data Science and ongoing certification work in Generative AI, and I am seeking roles where I can apply my technical leadership and execution skills to build robust data and ML systems that drive business impact.
Experience
Work history, roles, and key accomplishments
AI Engineer
Beyond & More
Jul 2025 - Present (6 months)
Built an AI-powered natural-language search engine and reduced ingestion pipeline time from 3–5 hours to 20–30 minutes by designing high-speed scraping and optimized ETL; deployed scalable AWS/Kubernetes infrastructure and CI/CD pipelines.
Lead Software Engineer
Wizzer AdvisorTech
Feb 2025 - Jun 2025 (4 months)
Led a 5–7 member team to build a scalable, secure stock trading platform with TypeScript microservices and Vue.js frontend, integrating MongoDB for trading and analytics data and delivering features on schedule.
Freelance Software Engineer
Freelance
Nov 2023 - Nov 2024 (1 year)
Built ETL pipelines and data lakes using Python, Airflow, AWS Glue and S3 to support BI dashboards and ML feature generation, and automated workflow orchestration with Lambda and Airflow DAGs.
CIDesigned backend APIs and Kafka-based real-time data synchronization pipelines for telecom infrastructure, improved observability with enhanced logging and Grafana dashboards, and supported uptime via SRE rotations.
RBDeveloped APIs and automation tools for Volkswagen TCU systems, built automated testing pipelines that reduced manual QA effort by ~50%, and created telemetry data validation tools to improve system reliability.
Education
Degrees, certifications, and relevant coursework
IDIIT Delhi
Certification, Generative AI
2025 -
Enrolled in a Generative AI certification program at IIT Delhi (ongoing) focused on modern generative models and applications.
QLQueen Mary University of London
Master of Science, Big Data Science
2021 - 2022
Completed an M.Sc. in Big Data Science focusing on scalable data processing and machine learning for large datasets.
AVAmrita Vishwa Vidyapeetham
Bachelor of Technology, Computer Science and Engineering
2015 - 2019
Completed a B. Tech in Computer Science and Engineering with coursework in software engineering, data structures, and systems.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Social media
Job categories
Skills
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