Akshita Verma

Associate Consultant

Pittsburgh, Pennsylvania, United States2 yrs 9 mos experience

Key Highlights

Expert in building intelligent systems using LLMs and ML.
Proven experience in data engineering and MLOps.
Strong academic background with a 3.92 GPA at CMU.

Stackforce AI infers this person is a Data Engineer with expertise in AI and MLOps, suited for roles in Fintech and SaaS.

Contact

Skills

Core Skills

Data ModelingSqlReact.jsMlopsMachine Learning

Other Skills

SAP ERPPython (Programming Language)SAP HANA.NETMySQLAzure DevOpsPostgreSQLKubernetesDockerAmazon EKSKubeflowPythonCoachingCommunicationPublic Speaking

About

I’m a Master’s student in Computational Data Science at Carnegie Mellon University, focused on building intelligent systems that apply LLMs and ML to real-world problems. For the past 2 years, I worked as a Data Engineer at Shell, building data models and reporting systems across finance, trading & supply and compliance using SAP HANA and SQL. Earlier, I interned at Invigilo AI, where I worked on workplace safety automation — fine-tuning YOLOv5 models to detect PPE violations, building a Kubeflow-based MLOps pipeline for model deployment, and automating data workflows for large-scale CV tasks. These experiences shaped how I approach AI — not just as algorithms, but as end-to-end systems that bridge data, decision-making, and impact. I’m now applying that mindset to LLM-powered applications that deliver tangible business value. Currently seeking Summer 2026 internship opportunities!

Experience

Carnegie mellon university - heinz college of information systems and public policy

Graduate Teaching Assistant

Jan 2026 – Mar 2026 · 2 mos · Pittsburgh, Pennsylvania, United States · On-site

TA for course Demystifying AI under professor David Steier

Shell

Associate Data Engineer

Aug 2023 – Jul 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Designed and developed enterprise-grade data models in SAP HANA across domains like finance, compliance, and trading & supply to support real-time analytics and reporting.
Wrote and optimized complex SQL logic for business KPIs, enabling data-driven decisions by finance and operations teams.
Built a full-stack document tracking system using React (frontend), .NET(backend), and MySQL — handled end-to-end design of APIs, modules, and data flows.
Hosted and deployed the application via Azure DevOps, integrating CI/CD pipelines for automation and monitoring.

SAP ERPPython (Programming Language)SQLSAP HANAData Modeling

Invigilo ai

AI Engineering Intern

Oct 2022 – May 2023 · 7 mos · Singapore · Remote

Built an MLOps PoC with Kubeflow, Kubernetes, Docker to train and deploy a YOLOv5 model for safety detection (98% accuracy for hook block, 90% for person)
Designed a Streamlit-based interface and relational database to manage and visualize training data
Automated data workflows using Python scripts to simplify their data acquisition process,contributed to high-quality dataset labeling (e.g., PPE gear)

PostgreSQLKubernetesDockerPython (Programming Language)Amazon EKSKubeflow+2