
Sanidhya Kumar
@sanidhyakumar
Applied AI engineer building GenAI products, including a serverless AWS RAG document Q&A pipeline.
What I'm looking for
At Sopra Steria, I built semantic search over enterprise APIs that was 40% more relevant than keyword search, and designed an internal API discovery platform that cut service duplication by 30ā50%. I also built Node.js and MongoDB REST APIs with RBAC and a real-time monitoring dashboard, reducing integration time by 35%.
I build GenAI products end to end, from RAG pipelines and multi-agent workflows to full-stack applications on AWS and GCP. My projects include a serverless AWS document Q&A pipeline and a misinformation detection platform; I also led a four-person team developing a federated GAN product for synthetic X-rays.
Experience
Work history, roles, and key accomplishments
Built semantic search over enterprise APIs with OpenAI embeddings, achieving 40% more relevance than keyword search. Designed an internal API discovery platform, cutting service duplication by 30ā50% across teams.
Education
Degrees, certifications, and relevant coursework
PES University
Bachelor of Technology, Computer Science and Engineering
2023 -
Pursuing a Bachelor of Technology in Computer Science and Engineering, with coursework in data structures, algorithms, database management, operating systems, and machine learning.
Tech stack
Software and tools used professionally
Amazon API Gateway
Amazon EC2
Google Cloud Platform
Amazon S3
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Node.js
Tailwind CSS
Terraform
React
Python
Java
C++
Rust
PyTorch
scikit-learn
Amazon SQS
FastAPI
Gemini
Amazon RDS
TypeScript
Git
Docker
Hugging Face
LangChain
CrewAI
Flower
pgvector
Faiss
Retrieval-Augmented Generation (RAG)
AWS
REST APIs
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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