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Yukta Chikate

Yukta Chikate

AI Product Leader & Senior AI/ML Engineer

Program Manager · Insight Global

yuktachikate14@gmail.com
Introduction

Engineering trust into intelligent systems.

I work at the intersection of machine learning infrastructure and product strategy — building the evaluation layers, observability pipelines, and agentic architectures that let enterprise AI systems operate reliably in healthcare and finance, where failure has real consequences.

Over the past five years I've led cross-functional teams from 0-to-1 prototypes through production hardening — reducing hallucination risk, cutting inference latency, and shipping the safety rails that let organizations trust what their models say.

Selected Work

Project Case Studies

01

RAVE

Risk-Adaptive Verification Engine

Featured Research

Designed a runtime verification framework that treats the first AI output as a candidate action rather than a verdict, allocating additional verification according to risk before ACT, ABSTAIN, or ESCALATE.

Trustworthy AI Runtime Verification AI Safety Decision Systems Risk
Read Research ↗ Zenodo Research Preprint · 2026
02

AeroMaps

Pilot-Centered Electronic Flight Bag

Research Prototype

Designed a map-first electronic flight bag prototype that keeps planning, weather, weight-and-balance, route state, and inspectable decision support close to a persistent spatial context.

SwiftUI MapKit Aviation HCI Decision Traceability Human Factors
Research ↗ Zenodo Research Preprint · v2.0 · 2026
Experience

Roles, research & internships

  • Insight Global logo

    Insight Global

    Program Manager

    July 8, 2026 — Present

    Lead program reporting, analytics, and process improvement initiatives — building Power BI dashboards, defining KPIs, automating recurring reports, and translating operational data into clear insights for leadership decision-making.

    Power BI dashboards KPI definition Automated reporting
  • CVS Health and Aetna logos

    CVS Aetna — EXL

    Assistant Engineering Manager & Agentic AI Lead

    Feb 2026 — July 2026

    Led a 12-person cross-functional team across UX, data engineering, and frontend to ship enterprise AI and source-traceability interfaces, directing BigQuery semantic search and automated contract validation at scale.

    12-person team led BigQuery semantic search
  • SnapLogic logo

    SnapLogic

    Software Engineer, System Health & Reliability

    June 2025 — Oct 2025

    Designed automated agentic test-case execution and deployed Prometheus/OpenTelemetry observability across the release pipeline, cutting QA effort and recurring production failures in the same quarter.

    -60% QA effort -25% production failures
  • Barclays logo

    Barclays Investment Bank

    Data Analyst & ML Engineer

    Feb 2021 — Aug 2022

    Built anomaly detection pipelines watching 10M+ daily financial transactions — where I first learned that a model's confidence is only as good as its evaluation harness.

    +26% detection precision 10M+ daily transactions
  • CSIR-National Environmental Engineering Research Institute (NEERI) logo

    CSIR-NEERI

    Research Scientist

    June 2019 — Dec 2020 · Nagpur, India

    Computed GLDAS data and carried out detailed calculation and analysis in ArcGIS using advanced Python programming.

    GLDAS ArcGIS Python
  • Indian Space Research Organisation (ISRO) logo

    Indian Space Research Organisation (ISRO)

    Intern

    Oct 2019 — Feb 2020

Education

Where I studied

  • Northeastern University seal

    Northeastern University

    M.S. in Computer Systems

    Graduate

    Dean's Graduate Research Assistant

  • Yeshwantrao Chavan College of Engineering logo

    Yeshwantrao Chavan College of Engineering

    B.S. in Computer Science

    Undergraduate

    Published research with ISRO & NEERI — see Research

Publications

Preprints & papers

Research & Publications Google Scholar ↗

Recent research

2026

Zenodo Research Preprint DOI

RAVE: Risk-Adaptive Verification for Consequential AI Systems

Yukta Chikate · Zenodo

A risk-adaptive verification framework for consequential AI systems that treats model outputs as candidate actions and introduces runtime verification, evidence provenance, perturbation testing, and ACT / ABSTAIN / ESCALATE decision gates.

View Publication ↗ 10.5281/zenodo.23354636

2026

Zenodo Research Preprint v2.0 DOI

AeroMaps: A Map-First Interaction Architecture for Pilot-Centered Electronic Flight Bags with Inspectable Decision Support

Yukta Chikate · Zenodo

A pilot-centered electronic flight bag research prototype studying whether familiar consumer-map interaction patterns can reduce interface friction while preserving aviation-specific state, provenance, and inspectable decision support.

View Publication ↗ 10.5281/zenodo.23424358

Preprint

arXiv Preprint — Under Moderation cs.AI

RAVE: Risk-Adaptive Runtime Verification for Consequential AI Actions

Yukta Chikate · arXiv

A runtime assurance architecture for AI systems that separates generation from execution and adaptively allocates verification effort according to consequence, uncertainty, provenance, contradiction, and verification cost.

Public arXiv link not yet available

Preprint

arXiv Preprint — Under Moderation cs.AI

AeroMaps: Selective Transfer of Consumer-Map Interaction to Pilot-Facing Electronic Flight Bags

Yukta Chikate · arXiv

An HCI and aviation systems study on selectively transferring familiar consumer-map interaction patterns into pilot-facing electronic flight bags while preserving aviation-specific state, provenance, and decision traceability.

Public arXiv link not yet available

Earlier publications

2024

Northeastern University

HealthBot: Your AI-Powered Virtual Healthcare Companion

Chikate, Y., Brown, N.

2021

IJERT · ICACT 2021 · Vol. 9, Issue 8

Analyze Fluctuations in the Water Level of Erai River Using Sentinel Data

Chikate, Y., Konge, A., Damahe, L.

DOI: 10.17577/IJERTCONV9IS08014 ↗

2020

Yeshwantrao Chavan College of Engineering (YCCE)

Comparison of G-Shaped Slot Antenna on Various Substrates for 5G, Wi-Max and Other Applications

Chinchole, A., Chikate, Y.

Recognition

Licenses, awards, speaking & recommendations

Licenses & Certifications

Federal Aviation Administration

FAA Student Pilot License

Federal Aviation Administration · Issued Aug 2024

Federal Communications Commission

General Mobile Radio Service (GMRS) License — Part 95

Federal Communications Commission · Issued Jul 2025 · Expires Aug 2035

Credential ID: FCC call sign — WSJE727

Show credential ↗
NVIDIA

AI Infrastructure and Operations Fundamentals

NVIDIA · Issued Dec 2024

Show credential ↗
NVIDIA

Medical Imaging AI with MONAI Bootcamp

NVIDIA · Issued Nov 2024

Awards & Honors

2022 – 2024

Dean's Research Assistant

College of Engineering, Northeastern University, Boston

Research focus: Parkinson's disease analysis, healthcare

2022 – 2024

Parkinson's Disease Analysis Research

Healthcare Department, Northeastern University

Speaking & Panels

2019 – 2022

Toastmasters International

Member — recurring public speaking and leadership practice

2020

Covid Difficulties

Toastmasters International

Recommendations LinkedIn ↗

March 2024

Mentored Yukta

Nik Bear Brown

Associate Teaching Professor, Northeastern University

Praised for exceptional technical aptitude and real-world problem-solving across three university courses.

LinkedIn ↗

August 2022

Managed Yukta directly

Ravinderpal Singh Mission

Vice President, Barclays Technology Center India

Instrumental on the team — quickly mastered the FinCrime domain and took on complex challenges without hesitation.

LinkedIn ↗

November 2021

Mentored Yukta

John Marshall

Technology Manager, William O'Neil India

A hard-working, fast-adapting engineer who ramped quickly on React.js, Redux, and other new technologies as a fresher.

LinkedIn ↗

December 2020

Worked with Yukta on the same team

Asheesh Sharma

Principal Scientist, CSIR-NEERI

Delivered detailed GLDAS computation and ArcGIS analysis during a 6-month research internship at NEERI.

LinkedIn ↗
Contact

Open to conversations on AI leadership & systems.

yuktachikate14@gmail.com

San Francisco, CA

Newsletter

Field Notes on Applied AI

Occasional deep-dives on shipping ML into production — evaluation pipelines, agentic debugging, and what actually breaks when you put an LLM in front of high-stakes decisions. No spam, unsubscribe anytime.