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Aerostructures × Agentic AI · Hyderabad, India
Kiran Kumar
Kasuvosula
Manager, Aerostructures New Product Development · AI Engineer
I take airframes from first sketch to certification, and build the agentic AI and 3D software that make that engineering faster.
- 18years in aerostructures
- USA · Japanlong onsite postings with OEMs
- 4career awards incl. Best Innovation 2026
About
I started my career in continued airworthiness, assessing repair life, residual strength and inspection thresholds on commercial jets. Over twelve years I grew into a project leader delivering fairings, trailing edges, fuselage integration and wing slats from preliminary design to certification, including long onsite assignments in the USA and Japan.
I then founded an engineering design and CAE consultancy for railway chassis programs, and today I lead aerostructures new product development: prototype test plans, test-vs-analysis correlation and certification reporting.
Alongside the structures work I build software. My current focus is agentic AI for engineering: multi-agent pipelines that turn 3D CAD into bills of material and shop-floor instructions, with a human approval gate at every step. That work earned the Best Innovation Award 2026.
Where I work on the airframe
Tap a marker to see the structure, the checks behind it and a drawing of the area.
Selected work
Live · personal project
DigitalWork Instructions
A from-scratch 3D assembly and work-instruction viewer. Parts install in sequence with an animated camera; explode, X-ray and a large-type shop-floor mode make it usable on a tablet at the workbench.
- 73 → 0.9 MBCAD to web model
- 57parts, 11 steps
- 0servers needed
Training platform · engineering teams
GD&T Aerospace Academy
A role-based, zero-to-hero GD&T course for business development, design, manufacturing and stress teams, told as one story about a quarantined batch of wing hinge fittings. Every topic runs on the same drawing, with 3D tours, worked examples, hands-on sheets and a Tolerance Studio for real stack-ups.
- 5 levelsfrom drawing basics to master
- 4 teamsBD · design · build · stress
- WC · RSS · MCstack-up methods, plus STEP-based 3D
Enterprise · award-winning
AeroPlan 3D AI
An on-premise agentic platform that turns 3D CAD into engineering and manufacturing BOMs and manufacturing instruction sheets, ready for ERP input.
Built in a company setting, so code and screens stay private. Architecture walkthrough available in interviews.
Try it · structures basics
Margin of safety, in one line
The first check every stress engineer runs. Move the sliders: MS = Fallow / (σlimit × FoS × FF) − 1
Textbook method · illustrative numbers only, not design data
Experience
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2024 — Now
Manager – Aerostructures NPD & AI Engineering Tata Advanced Systems
Lead airframe programs from preliminary design through prototype test plans, test-vs-analysis correlation and certification reporting. Architect of an agentic CAD-to-manufacturing-instructions platform; run SDLC delivery and present to executive leadership to win approval for implementation.
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2020 — 2024
Founder & Principal Consultant Kesari Group of Industries
Engineering design and CAE consultancy: static, fatigue and weight-optimisation studies for railway rolling-stock chassis programs, plus business development and client delivery.
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2008 — 2020
Project Leader – Aerostructures Design & Analysis Cyient
Twelve years from repair-assessment analyst to onsite project leader. Metallic, composite and sandwich structures from preliminary design to certification; test plans, flight-test installation and FAA-PMA packages; led a distributed India–Japan team.
- 2016–2019 Onsite, Japan · ShinMaywa programs
- 2011–2015 Onsite, USA · Boeing programs
Awards
- Best Innovation AwardTata Advanced Systems · 2026
- Mark of ExcellenceBest Performer of the Year · Cyient
- Best Performer of the QuarterShinMaywa Industries
- Exemplary PerformanceBoeing
Education
- MCA, Cloud Computing & AI EngineeringOsmania University · 2024–2026
- B.Tech, Mechanical EngineeringSR Engineering College, JNTU Hyderabad · 2004–2008
Certifications
- Machine Learning · Python · SQL · Power BICloudyML · 2023
- Entrepreneurship Development ProgramKhadi & Village Industries Commission, Govt. of India
- OEM structures trainingDesign Principles of Commercial Aircraft · Fatigue & Damage Tolerance
Toolbox
Structures
Stress Analysis · Fatigue & DT · Residual Strength · Repair Assessment · Composites · Certification
CAD / CAE
CATIA V5 · Altair HyperMesh · MSC Nastran · MSC Patran · ANSYS · Abaqus
AI Engineering
GenAI · Agentic AI · LangChain · LangGraph · MCP & Tool Calling · RAG · Ollama
Software
Python · FastAPI · React · Three.js · Electron · OpenCASCADE
Data & Delivery
SQL · Power BI · SDLC · Cloud & Enterprise Deployment
Leadership
Program Management · Client Engagement · Decision-Making · Stakeholders · Executive Presentations
Learn
A free hub launching soon: notes, worked examples and calculation sheets from 18 years on aircraft structures. Every analysis topic follows one rule: hand calculation first, then the FE model, then compare.
Analysis
Margins & allowables · shear flow · lugs & joints · plate buckling vs SOL 105
Design
GD&T & datums · tolerance stack-ups · fastener edge margins · DFMA
Manufacturing
EBOM → MBOM · assembly sequencing · work instructions · drilling & shimming
Industrial AI
What LLMs can't do · RAG over standards · tool calling · human approval gates
YouTube series #1 · coming soon
Aerostructure Stress Analysis: Hand Calcs → Nastran/Patran → Altair
Contact
Building aircraft structures, or AI that engineers can trust? Let's talk.
Open to conversations about aerostructures, stress analysis, engineering leadership and applied-AI engineering roles.