Parag Ahire

About Parag Ahire

Principal level Technical Program Manager and Software Architect/Dev Manager with 15+ years of experience delivering large scale, cross functional engineering programs across AI/ML powered fleet safety, computer vision driven telematics, and enterprise credit and identity decisioning platforms. Skilled at driving complex initiatives across software, data, and product teams, with strengths in distributed systems, AI/ML workflows, safety critical validation, and enterprise modernization. Known for bringing clarity to ambiguity, maturing execution frameworks, and enabling predictable delivery across multi team environments. Adept at partnering with engineering leadership to define strategy, manage risk, and scale solutions that require multi year program steering, architectural depth, and disciplined cross functional alignment.Productivity Tools: JIRA, Trello, Confluence, Smartsheet, SharePoint, M365 CoPilot, Google Suite, Draw.io, Clickup, AirtableProgramming and Data Formats: Python, SQL, R, C/C++, Pig, Hive, XSD, XML, JSONAI/ML/DS Tools and Libraries: Pandas, sklearn, PyCaret, Chocolate, Hyperopt, Optuna, PyMongo, SparkR, SparkSQL, Gurobi, pyomo, LlamaIndex, LangChain, LLMs – Google Gemini Pro/Flash, Open AI GPT’s, Mastra.ai, CursorDatabases: Postgres, MongoDB, Oracle, MS-SQL, Neo4j, Redis, Pinecone, ElasticsearchVisualization: matplotlib, seaborn, Grafana, Tableau, KibanaCloud: GCP, AWS

Experience

1. Principal Technical Program Manager

   Netradyne

   Aug 2021 — Present · San Diego, CA, US

   Led cross‑functional delivery of AI/ML‑powered fleet‑safety capabilities by partnering with ML research, ML engineering, data science, and platform teams to ship production‑grade device software at scale. Served as the primary analytics and feature‑development contact for a major customer during early program stages, bridging gaps in product and program ownership. Drove geo‑expansion programs for new and existing features across global markets and delivered multiple ML and algorithmic features leveraging inward/outward video and sensor‑fusion signals (GPS, IMU, accelerometer). Executed several rounds of precision improvements and launched new capabilities through GA and pilot phases. Led refactoring of key features to real‑time causal implementations, achieving P90 latency ≤ 60 seconds for a top customer. Managed vendor relationships, licensing negotiations, and a 3‑year renewal that delivered significant cost savings and margin improvements. Built an M365 Copilot agent using prompt‑engineering techniques to automate NDA review for the Legal team.Cloud Technologies : Amazon Web Services (AWS)Languages, Databases and Tools : Python, SQL, Postgres, MongoDB, PyMongo

Education

• University of Wisconsin-Green Bay

  Master of Science - MS, Data Science

• COEP Technological University

  Bachelor of Engineering - BE, Electronics and Telecommunication

  1989 — 1993

• Penn State University

  Master of Science - MS, Engineering Management

Skills

• Xsd
• Data Analysis
• Algorithms
• Software Development Life Cycle (Sdlc)
• Distributed Development
• Mapreduce
• Product Development
• Data Science
• Software Architectural Design
• Software Project Management
• Big Data
• Test Automation
• Web Services
• Uml
• C#
• .net
• Requirements Analysis
• Sdlc
• C++
• Microsoft Visio
• Design Patterns
• Sql
• Visio
• Project Coordination
• Mismo Xml Standards
• Soa
• Xml
• Rational Rose Enterprise Edition
• Xpath
• Unix
• Software Development
• Corba
• Python
• Scrum