Ishika Sahu
@ishikasahu
Data Scientist building multimodal AI systems and reliable ML pipelines.
What I'm looking for
I’m a Data Scientist focused on building dependable AI systems—from memory architecture to end-to-end pipelines. At xCaliber Health, I designed a Redis-backed multi-agent session memory system, shaped the memory graph schema for incremental evaluation, and implemented ETL pipelines across Temporal workflows for EHR and claims scoring.
I also build multimodal agents for voice and chat with modular STT, LLM reasoning, and TTS pipelines, plus structured clinical data access via an in-house healthcare query language. Alongside my role, I’ve delivered projects like a microservices AI interview platform (Kubernetes + semantic retrieval) and applied ML for anomaly detection and phishing detection, strengthening my approach to testing, CI/CD, and measurable outcomes.
Experience
Work history, roles, and key accomplishments
Data Scientist
Xcaliber Health
Jan 2026 - Present (5 months)
Designed a Redis-backed multi-agent session memory system with per-agent write isolation and TTL-based extraction into a graph database. Owned memory-graph schema decisions, built six Temporal ETL workflows for EHR/claims RAF scoring (SNOMED CT→ICD-10→HCC) with 99 tests at 92% CI/CD coverage, and developed a multimodal voice+chat agent with modular STT, LLM reasoning, and TTS plus HDLQL for struct
Peer Tutor
NIIT University
Jan 2024 - May 2024 (4 months)
Tutored 15+ students in Digital Logic Circuits and Data Structures & Algorithms, contributing to measurable improvements in end-semester assessment scores.
Education
Degrees, certifications, and relevant coursework
NIIT University
B.Tech in Computer Science and Engineering, Computer Science and Engineering
2022 - 2026
Grade: CGPA: 9.90/10.0
Pursuing a B.Tech in Computer Science and Engineering at NIIT University from 2022 to 2026, with a CGPA of 9.90/10.0.
Maheshwari Girls Public School
High School Diploma, Secondary Education (CBSE)
Grade: Grade 12: 90%; Grade 10: 94%
Completed CBSE high school (Class XII) in 2022 with 90% in Grade 12 and also reported 94% in Grade 10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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