Anoushka Awasthi
@anoushkaawasthi
I’m a software engineer building privacy-first and AI-native web and agent systems.
What I'm looking for
I’m a computer engineering B.Tech student who builds full-stack products with an AI mindset—turning logs and user activity into useful, searchable context. I focus on performance, latency, and reliability, from on-device semantic retrieval to serverless pipelines.
In my projects, I’ve shipped a local-first Chrome extension for private knowledge browsing, built AI project memory for coding agents, and delivered grounded NL→SQL analytics with SSE streaming and structured outputs. I enjoy designing robust systems—privacy-preserving where it matters, and measurable in outcomes like query latency.
Experience
Work history, roles, and key accomplishments
FlowSync Agent Memory
FlowSync
Developed an AI-native project memory system that converts git activity and agent logs into persistent, searchable context. Built a serverless AWS Bedrock + embeddings pipeline for branch-aware RAG in which queries achieved 1.26s median and 1.60s p95 latency.
Konta Chrome Extension
Konta
Built a local-first Chrome extension that converts browsing activity into an on-device knowledge base. Implemented on-device semantic embeddings with a multi-stage retrieval pipeline and privacy-preserving, context-bound sessionization.
GINA NL to SQL Pipeline
GINA
Implemented a multi-model natural language to SQL pipeline for conversational data analytics with structured outputs. Added SSE streaming with fast-path routing and context-aware multi-turn handling, plus failure-tolerant error handling for reliable analytics workflows.
Vehicle Parking App
Vehicle Parking App
Built a real-time parking system with JWT authentication, role-based workflows, and coordinated user dashboards. Integrated Redis caching and Celery scheduling to reduce repeated DB queries and support live occupancy tracking and automated alerts.
Education
Degrees, certifications, and relevant coursework
Thapar University
Bachelor of Technology, Computer Engineering
2023 -
Grade: CGPA: 8.81
Pursuing a B.Tech in Computer Engineering at Thapar University, Patiala (CGPA: 8.81).
CISCE
Class XII
2022 -
Grade: 96.5%
Completed Class XII under the CISCE Board with 96.5%.
CISCE
Class X
2020 -
Grade: 94.5%
Completed Class X under the CISCE Board with 94.5%.
Availability
Location
Authorized to work in
Job categories
Skills
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