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Portfolio — 2026
Abhishek Tuteja

Abhishek
Tuteja

Open to Work

Data Scientist & AI/ML Engineer

Building AI systems that solve finance problems. 2+ years at Deloitte, MSCS @ Northeastern (4.0).

About

I'm a Computer Science graduate student at Northeastern University with a perfect 4.0 GPA. My work spans quantitative risk, model validation, and data science — with strong foundations in Python, SQL, statistics, and machine learning.

Before grad school, I spent over two years at Deloitte as an Advisory Analyst, validating financial transaction workflows across SAP S/4HANA migrations for global agri-trading and oil & gas clients — covering multi-currency, multi-entity, and cross-border processes.

I'm currently building three projects at the intersection of AI and finance: PROVA, an SR 11-7 compliance tool using a multi-agent LLM architecture; CapTrack, a trade and portfolio analytics platform that handles real-world P&L edge cases including partial fills, short positions, and multi-currency reconciliation; and an ML options pricing engine benchmarked against Black-Scholes. I bring hands-on financial systems experience and a track record of building tools that automate what's traditionally done manually.

Languages

PythonSQLTypeScriptRC++C

ML & AI

Multi-Agent OrchestrationLLM Prompt EngineeringRAG PipelinesRandom ForestXGBoostscikit-learnTensorFlowNeural NetworksClassificationClustering

Quantitative

Black-ScholesGreeksVaR/CVaRMonte CarloVolatility ModellingTime SeriesQuantLib

Tools

GitPostgreSQLMySQLMongoDBSAP S/4HANATableaumatplotlibPower BIJupyter

Experience

01Jan 2025 — Present

Teaching Assistant

Northeastern University — Oakland, CA

  • Supported programming and data systems coursework, assisting with Python, Java, and SQL-based assignments and labs.
  • Evaluated and guided solutions with an emphasis on algorithmic thinking, correctness, and clean system design.
02May 2022 — July 2024

Advisory Analyst

Deloitte — Bengaluru, IN

  • Tested and validated financial transaction processes across 2 SAP S/4HANA migrations for global Agri-trading and oil & gas clients, covering multi-currency, multi-entity, and cross-border workflows including trade capture, settlement, and financial reconciliation.
  • Identified and reproduced system defects in dev environments, documenting structured reproduction steps for development teams and verifying post-deployment fixes.
  • Drove open defects to near-zero monthly through systematic end-to-end testing of commodity trading and trade-finance workflows across both client engagements.
  • Supported SAP Agricultural Contract Management (ACM) module work across agri-trading client engagements, testing integration between trading and finance systems and verifying post-deployment accuracy.
  • Designed and mapped 100+ financial workflows for a prospective client engagement, documenting process logic, decision points, and edge cases across commodity trading operations spanning multiple jurisdictions.
03Oct 2020 — Nov 2020

Machine Learning Intern

Steinn Labs — Remote

  • Developed an OCR pipeline using Python and TensorFlow to extract structured data from scanned identity documents for downstream database integration.
  • Improved extraction accuracy by ~15% through preprocessing, model tuning, and validation against labeled samples.

Education

Master of Science in Computer Science

Sept 2024 — May 2026

Northeastern University — Oakland, CA

GPA: 4.00

Algorithms, Database Management Systems, Machine Learning, Foundations of AI, Generative AI

Bachelor of Technology in Mechanical Engineering (Minor: Data Science)

July 2018 — July 2022

Manipal Institute of Technology — Manipal, KA

GPA: 3.71

Projects

What I've been building.

01

Prova

Automated SR 11-7 compliance assessment tool for model risk management — upload model docs, get a compliance score and gap analysis in minutes.

Three parallel AI agents evaluate model documentation against all three validation pillars — Conceptual Soundness, Outcomes Analysis, and Ongoing Monitoring — across 20 regulatory elements. A judge/orchestrator layer reviews for consistency, with automatic retry and scoped re-assessment for disputed findings. Outputs a weighted compliance score, per-element gap analysis with evidence citations, remediation recommendations, and a downloadable PDF report.

Next.jsTypeScriptSupabaseAnthropic API
02

CapTrack

Trade and portfolio analytics platform focused on correct P&L modeling under real-world conditions.

Ingests broker trade data (CSV exports), normalizes trades into a consistent schema, and constructs positions with accurate realized and unrealized P&L. Handles edge cases including partial fills, multiple trades per asset, short positions, and multi-currency reconciliation. Designed as a clean, auditable data platform that prioritizes deterministic accounting and correctness over visualization.

Next.jsTypeScriptSupabasePostgreSQL
View all on GitHub →

Get in Touch

Have a question or want to work together?

Direct

tuteja.a@northeastern.edu

San Francisco, CA

Social

github.com/abhishektuteja01linkedin.com/in/abhishektutejatuteja.a@northeastern.edu
Resume