# Moksh Aggarwal

**Software Engineer – Enterprise Data & Personalization Platform** — San Francisco, CA, United States

> AI-native software engineer and recent M.S. graduate (May 2026) with 2+ years of enterprise experience building data pipelines, low-latency services, and evaluation harnesses for agentic AI systems. Focused on audit-ready agents for stateful workflows.

Career Archetype: **Launchpad Artisan** (HS-MX) — One of the first Launchpad Artisans on Saywise

## Links

- LinkedIn: https://linkedin.com/in/aggarmoksh
- GitHub: https://github.com/aggarmoksh

## Experience

### Student Assistant, Student Wellness Center, San José State University (2025-08 – 2026-05)
San Jose, CA · - Operate front-desk services across 8 residential communities, supporting hundreds of residents with high-volume, time-sensitive requests. - Use StarRez (housing management) and S2 (access control) systems to verify residency/access, log guest activity, and maintain accurate records for desk operations. - Execute access-control workflows (guest check-in/out, entry monitoring, building verification) to support a safe and secure residential environment. - Manage resource inventory + chain-of-custody (lockout and community items): check-out/return tracking, secure key handling, and storage organization.

### Software Engineer – Enterprise Data & Personalization Platform, Tata Consultancy Services (TCS) (2021-10 – 2023-06)
India · Core engineer in a high-leverage pod modernizing a tier-1 client's platform. Built PySpark and Apache Kafka pipelines to ingest, normalize, and reconcile millions of daily events into a unified source of truth. Rewrote the core scoring layer into C++ microservices backed by Redis, dropping p99 latency from 52ms to under 15ms. Built a Shadow Mode deployment framework to replay live traffic against new models before production promotion.

### Industrial Trainee, NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT) (2021-01 – 2021-07)
Training in field of Artificial Intelligence and Machine Learning

## Education

### Master's degree in Data Science, San José State University (2024-08 – 2026-06)
NumPy, Pandas (Software) and +14 skills

### Bachelor of Engineering - BE in Electrical, Electronics and Communications Engineering, Panjab University (2017-01 – 2021-06)

## Projects

### Autonomous Agent & Evaluation Harness
Long-running web agent with JSONL telemetry and HITL circuit breakers · Built an autonomous web agent for long-running workflows. Early versions hallucinated DOM locators and entered infinite retry loops. Built a strict evaluation harness with structured JSONL telemetry and Human-in-the-Loop circuit breakers, plus idempotent tool calling for replay-safe execution. Caught context-window decay and logic bugs programmatically before human testers did.

### Financial Risk & Distributed Data Modeling (FDRPay)
Distributed classification system for financial anomaly detection · Built a full-stack distributed classification system to detect financial anomalies and mitigate risk across decentralized nodes. Focused on security, permissions, and compliance guardrails for sensitive transactional data.

### Real-Time Edge Dispatcher (FirstResponder Relay)
Real-time audio-to-JSON dispatch system built at Berkeley AI Hackathon · Shipped a 0-to-1 product from idea to production in 24 hours, winning the Berkeley AI Hackathon. Used OpenTelemetry to trace reasoning steps and monitor prompt context, converting ambiguous real-world audio into strict programmatic JSON responses.

## Skills

Neo4j, Anomaly Detection, AWS Step Functions, DevOps, Distributed Applications, AWS CloudFormation, Data Pipelines, REST APIs, Data Science, PySpark, React.js, Microsoft Office, Apache Airflow, Kafka Streams, Apache Spark, PostgreSQL, Docker Products, AWS CodeDeploy, Cash Flow Forecasting, Real-time Data, Data Quality, SciPy, WAMP, 100% Financing, Orchestration, Technical Translation, Payment Systems, Continuous Integration and Continuous Delivery (CI/CD), Tech Career Skills, Knowledge Graph-Based Recommendation, Next.js, Transaction Monitoring, Postman API, Language Skills, Autonomy iManage, Data Validation, Cross-functional Collaborations, AWS CodeBuild, NumPy, Machine Learning, Big Data, Scikit-Learn, Seaborn, Pandas (Software), Hadoop, Snowflake, Microsoft Power BI, Tableau, Data Storytelling, Presentations, Agent Architecture, Evals & Verification, RAG, Tool Calling, Cursor, Claude Code, Python, C++, TypeScript, FastAPI, Distributed Systems, SQL, Kafka, OpenTelemetry, JSONL Logging, Data Normalization & Reconciliation, Fintech/Risk Concepts, 0-to-1 Product Development, Idempotent APIs, Fault Tolerance, PyTorch, Redis, Playwright

## Credentials

- **Programming Essentials in Python** — Cisco Networking Academy (issued 2021-06)
- **Introduction to Blockchain Technology** — Coursera (issued 2020-10)
- **Introduction to Augmented Reality and ARCore** — Coursera (issued 2020-08)
- **Fundamentals of Virtual Reality** — CDAC (issued 2020-06)
- **Internet of Things (IoT)** — CDAC (issued 2019-06)

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Source: https://saywise.com/member5874 (last modified 2026-10-16T19:43:27.972Z)