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Mohneesh Daksh

Software Engineer

Kirkland, WA

About

I'm a software engineer based in Kirkland, WA, with 5+ years at Microsoft building AI-powered features and reliability engineering for production services. I recently completed my M.S. in Software Engineering at the University of Arizona (3.9 GPA), where I focused on AI-assisted development practices. My background spans building agentic AI tooling with Claude Code, designing cloud-native applications, and on-call incident response for services maintaining 99.9%+ availability. I'm proficient in Python, Django, Flask, and SQL, and I'm currently focused on how AI-native engineering practices can reshape the way software gets built.

Experience

Microsoft Corporation

Nov 2017 – Jan 2023

Data Specialist · Data Analyst II · Data Analyst

Microsoft India Development Center, Hyderabad, India

Data Sourcing Pipeline — Outlook Intelligent Cards

  • Designed, built, and maintained an end-to-end data-sourcing pipeline for Outlook Intelligent Cards training data in a privacy-constrained ("eyes-off") environment, ingesting classifier-sampled emails into Cosmos and structuring them into queryable tables.
  • Ran the pipeline as a daily batch job processing 1TB of data, engineering it to meet a 95%+ availability target for downstream model training.

Template Clustering & Extraction Modeling

  • Designed a template-clustering system using HTML DOM pattern-matching to sub-classify sampled emails by sender/format template without access to raw content.
  • Built high-accuracy data extraction and modeling pipelines achieving 95%+ precision and recall, scaling support to 100+ providers across travel, package delivery, and scheduling domains.

Live-Site Reliability & On-Call Operations

  • Drove reliability as on-call engineer for live-site operations, using ICM for incident tracking and root-cause log analysis to maintain >99.9% availability.
  • Led knowledge-sharing sessions and troubleshooting-guide updates to improve on-call documentation and speed up incident resolution.

PII Anonymization & Data Compliance

  • Built a PII anonymization pipeline using HTML structural analysis to locate and replace sensitive fields with synthetic data, serving as the compliance gate transitioning data from eyes-off to eyes-on environments.

Cortana — Meeting-Scheduling NLU

  • Improved Cortana's meeting-scheduling intent recognition to 90%+ accuracy by building and refining semantic parsing logic that extracts attendee, date/time, and location details.

Bing Search — Relevance Model Evaluation

  • Collaborated with the Bing Search relevance team to evaluate ranking models across multiple search scenarios, using precision/recall analysis to identify failure patterns and improve model performance beyond the 90% production deployment threshold.
CosmosData PipelinesBatch ProcessingHTML DOM ParsingICMPII AnonymizationSemantic ParsingSearch RelevancePrecision/Recall Analysis

Education

University of Arizona, Main Campus

Aug 2024 – May 2026

Master of Science, Software Engineering

Tucson, AZ, USA · GPA: 3.9/4.0

Delhi Technological University (Formerly Delhi College of Engineering)

Aug 2013 – Jun 2017

Bachelor of Technology, Environmental Engineering

New Delhi, India · GPA: 3.2/4.0

Skills

skills.ts
const skills = {
languagesAndFrameworks: ["Python", "C#", "JavaScript", "HTML", "CSS", "Bash", "Django", "Flask", "REST APIs", "JWT", "Ajax", "Bootstrap", "Express"],
cloudAndAI: ["AWS (EC2)", "Claude Code", "Claude API", "AI-Assisted Engineering"],
dataAndTools: ["SQL", "MySQL", "MongoDB", "SQLite", "Git", "CI/CD", "Docker", "Jira", "Postman", "SonarQube", "Jama", "Agile"],
};

Projects

Job Application Resume Optimizer Agent

Aug 2026

An agentic AI system built on Claude Code that automates end-to-end resume tailoring, cutting manual tailoring time from 1–2 hours to 15–30 minutes.

  • Designed a multi-skill agentic architecture (job-assistant) orchestrating resume-review, resume-author, and master-resume-update capabilities.
  • Built AI-assisted gap-analysis logic comparing job requirements against a persistent master resume to rank experience by relevance.
Claude CodeAgentic AIPython

UArizona Scholarship Application Management System

Aug 2025 – Dec 2025

A role-based scholarship application platform with REST APIs for admins, applicants, reviewers, and sponsors.

  • Designed data models and REST APIs using Django and MongoEngine with role-based access control.
  • Built an eligibility screening and scoring engine with configurable rules and priority-based tie-breaking.
DjangoMongoEngineREST APIsJWT

Pharmacy Management System — Access & Inventory Control

Aug 2024 – Dec 2024

A role-based pharmacy web application for managing patient records, prescriptions, inventory, and transactions, deployed to AWS EC2.

  • Led end-to-end feature development — schema design, backend services, UI — within a four-member Agile team.
  • Engineered RBAC, authentication, and account recovery alongside inventory and prescription workflows.
DjangoAWS EC2SQLiteRBAC

Personal Finance Management System (PFMS)

Jan 2025 – May 2025

A personal finance and investment tracking platform with automated testing and CI/CD before Docker-based deployment.

  • Built transaction handling and balance adjustment logic for cash and stock transactions, including reversing and reapplying edits.
  • Implemented stock buy/sell functionality and account CRUD, keeping balances consistent across records.
FlaskReactTypeScriptSQLiteDockerCI/CD

Steam Platform Database Management System

Jan 2026 – May 2026

A relational database modeling a simplified version of the Steam game distribution platform.

  • Designed a 17-entity relational schema covering users, games, transactions, and reviews, including weak entities and junction tables.
  • Authored SQL queries for real-world business questions using joins, subqueries, and aggregation.
MySQLSQL

Contact

Interested in working together, or just want to say hi? My inbox is open.

mohneeshdaksh@outlook.com