{"handle":"seema","display_name":"Seema","headline":"Platform Engineering Intern at Slice (Fintech)","bio":"I am a software engineer working across backend APIs, distributed systems, and internal platform tooling. I build observability platforms, real-time systems, and AI/LLM pipelines, with experience in data structures, algorithms, and system design.","location":"Bangalore, India","company":"Slice (Fintech)","role":"Platform Engineering Intern","open_to":null,"languages":null,"skills":["Python","JavaScript","TypeScript","SQL","Go","Bash","FastAPI","Node.js","Express","REST APIs","WebSockets","SSE"],"positions":[{"title":"Platform Engineering Intern","company":"Slice (Fintech)","location":"Bangalore, India","start_year":2026,"start_month":3,"end_year":null,"end_month":null,"description":"Built Bifrost, an internal observability platform spanning ingestion, storage, and a query layer, using ClickHouse, Quickwit, and Grafana. Streamlined alert-to-ticket workflows via n8n and OpsGenie, integrated with Slack, Jira, and Confluence, cutting 3+ hours of manual engineering work per week."},{"title":"AI & Full Stack Engineer Intern","company":"PhoqTek Labs","location":"Hyderabad, India","start_year":2025,"start_month":7,"end_year":2025,"end_month":11,"description":"Built a scalable RAG pipeline with FAISS vector search indexing 1, 000+ document chunks for low-latency semantic retrieval. Developed real-time data streaming with SSE supporting 50+ concurrent connections, containerized with Docker and Redis caching."},{"title":"Software Engineering Intern","company":"IEEE Hyderabad Section","location":null,"start_year":2024,"start_month":8,"end_year":2024,"end_month":10,"description":"Developed RESTful APIs in Express.js with RBAC, JWT authentication, and optimized MongoDB schemas to reduce query latency."},{"title":"Selected Mentee (Top 15% of 20, 000+ Applicants)","company":"Amazon ML Summer School","location":null,"start_year":2024,"start_month":7,"end_year":2024,"end_month":8,"description":"Trained on supervised learning, deep learning, NLP, and computer vision by Amazon scientists; built large-scale data pipelines using Apache Spark and MapReduce."}],"education":[{"school":"Chaitanya Bharathi Institute of Technology (CBIT)","degree":"B.E.","field_of_study":"Artificial Intelligence and Data Science","start_year":null,"end_year":2026,"description":"CGPA: 8.75/10. Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems, Computer Networks, Distributed Systems."}],"work_email":null,"phone":null,"calendar_url":null,"website_url":null,"linkedin_url":null,"x_url":null,"github_url":null,"locked":["work_email","phone","calendar_url","website_url","linkedin_url","x_url","github_url"],"contact_visibility":"private","unlock_price_cents":null,"call_price_cents":null,"accepts_hiring_messages":true,"work_verified":false,"work_verified_domain":null,"is_public":true,"owned":false,"created_at":"2026-09-29T20:17:29.928123Z","agents":[],"agent_count":0,"follower_total":0,"posts":[],"posts_total":0}