Remote · Washington, DC Metro

ANIRUDH
KASHYAP

Building AI/ML Solutions Engineering teams since 2017,
now at the frontier of agentic AI. I turn early-stage
technical orgs into world-class GTM engines focused on
deal clarity, business outcomes, and customer trust.

AI/ML SaaS Pre-Sales Leadership Value Engineering Agentic Workflows Enterprise GTM Integration & API Architecture Industry Speaker
View LinkedIn See My Career Download CV
Anirudh Kashyap — Professional Headshot
Washington, DC Metro
My Journey

From formulating chemicals
to deploying AI agents

I spent the first decade of my career in the cutting edge chemicals industry — from helping launch the world's brightest LED light bulb to building components that went into the mobile revolution. In 2016, I realized AI was the future and made the pivot to consulting, data science, and eventually Solutions Engineering leadership.

Today, I lead enterprise Solutions Engineering teams at AI/ML SaaS companies — building the function, the process, and the people from scratch. I believe the rarest skill in technical GTM is connecting platform capability to business outcome with enough clarity to close. That's what I do.

Outside of work, I'm driven by the same instinct: if I haven't done it, I want to learn it. I speak five languages, have traveled to over 30 countries, and have lived and worked in Taiwan and Japan. Every year I pick up something new — a sport, a language, a skill — because I believe life is richer when you chase experiences over objects.

My Identity
Builder
Teams, processes, frameworks — if it doesn't exist yet, I'll build it from scratch.
Tinkerer
I write Python scripts to track my own life and build side projects out of curiosity. I don't outsource learning.
Closer
I obsess over deal clarity and path to close. Technical wins don't count until the contract is signed.
Dad
New to the role. Already the hardest and best thing I've built.
Career Timeline

The Arc

Chapter III — AI/ML Solutions Leader
Director, Forward Deployed Engineering
Nov 2024 — Present
Director, Solutions Engineering → Director, Forward Deployed Engineering
Smartcat, Inc. · AI-powered enterprise content & localization platform (~$15–20M ARR)
  • Built enterprise SE org from zero — 3 SEs + 11 cross-functional reports across CS and Marketplace Ops
  • Designed Smartcat's Proof-of-Value framework achieving a 60% PoV-to-close rate, influencing $5M+ in enterprise deal value
  • Technical win owner across a $50M+ pipeline — API architecture, workflow mapping, multi-system solution design
  • Standardized RFI/RFP process — reduced response time from 2 weeks to under 3 days
Director, AI Solutions Engineering
Feb 2019 — Oct 2024
Senior Data Engineer → Founding Manager → Senior Manager → Director, AI Solutions Engineering
Citrine Informatics · AI/ML SaaS for materials & chemicals (Series A–C, $0 → $15M ARR)
  • Founded and scaled global SE function — PhD-level team with zero attrition over 3 years
  • Drove ARR from $0 to $15M+ during COVID via demo, PoC, and value engineering frameworks
  • Created revenue-generating PoC offerings (MI-Demos, MI-Trials, MI-Workshops) — $3M+ in ARR
  • Delivered solution roadmaps to VP- and C-level stakeholders at global Fortune 500 enterprises
  • Influenced 2020–2024 product roadmap via competitive evaluations and structured enterprise insights
Chapter II — AI Technology Consultant
Lead Analytics Consultant
Dec 2017 — Jan 2019
Deloitte Consulting · Big 4 global management & technology consulting
  • Led digital transformation for BUMED & HHS — global workforce readiness platform in Tableau across 472 worldwide locations
  • Co-authored whitepaper for senior DoD leadership using regression analysis on organizational health data
Chapter I — Chemical Engineer
Sr. Applications Engineer
Oct 2012 — Feb 2017
Atotech GmbH (Total Oil Subsidiary) · Global PCB electroplating & semiconductor chemistry
  • Led international engineering programs across US, Taiwan, and Japan — customers included Samsung, HTC
  • Delivered >10% performance improvements across customer programs via DoE and A/B testing
  • Built a 1.5M-record R&D database ("The Toolbox") from scratch — adopted globally to accelerate knowledge transfer
R&D Process Engineer
Jan 2010 — Sept 2012
R&D Process Engineer, Level I → Level II
Cree, Inc. (now Wolfspeed) · US market-leading innovator in LEDs & GaN power devices
  • Achieved 18% LED brightness improvement — contributed to the world-record 231 lm/W LED
  • Part of the team that launched the commercial 40W/100W LED bulb now used in homes globally
  • Promoted to Level II by Director of R&D for exceptional performance and "do whatever it takes" attitude
Beyond Work

The Person Behind the Resume

2026
Soundburst icon
Soundburst
macOS · Swift
A menu bar app that monitors your mic volume in real time — a glanceable green / orange / red icon keeps your voice comfortable on back-to-back calls. No recording, no data leaves the device.
Goal · Approach · Outcome
Goal Avoid voice strain on long calls with zero friction — a passive, glanceable signal in the menu bar.
Approach SwiftUI + AppDelegate menu-bar-only app. AVAudioEngine measures mic RMS in real time; momentum + peak hysteresis prevents the icon flickering during brief pauses.
Outcome Lightweight macOS utility living entirely in the menu bar. Privacy-first — no recording, no data sent anywhere.
Repo GitHub →
2022 · 2024
Conference Talks & Panels
AI/ML · Materials Science · Enterprise
Invited speaker at Shell.ai's global scientific conference in Bangalore and panelist at Johns Hopkins APL's national security symposium — presenting at the frontier of AI and materials science.
View talks
Shell.ai Scientific Conference 2022
SEPT 23, 2022 · BANGALORE, INDIA
Shell.ai Scientific Conference — Digital Material Design for Sustainability & Circularity
Session 3: AI for Materials & Devices. Presented alongside researchers from Fritz Haber Institute, IIT Kanpur, and Shell's Chief Scientist for Computational & Data Science. Partners included BASF, Microsoft, NVIDIA, Princeton, and SABIC.
Johns Hopkins APL — PREDICT Panel 2024
2024 · LAUREL, MARYLAND
Johns Hopkins APL — Accelerating Materials Discovery for National Security Symposium
PREDICT Panel — AI/ML and predictive methods for mission-enabling materials in extreme environments. Co-panelists: James Warren (NIST Materials Genome Initiative), Yannis Kevrekidis (DARPA / Johns Hopkins), Lori Graham-Brady (Johns Hopkins), Chris Stiles (Chief Scientist, APL). ~200 attendees from government, academia, and industry.
2020
BMW dashboard preview
My BMW HUD
Tableau · Data Analysis
10 years of every expense tracked on my '07 328i — from loan payments to random gaskets — visualized into a Tableau dashboard that hit the r/dataisbeautiful front page.
Goal · Approach · Outcome
BMW Cost of Ownership Dashboard
Goal Surface the true total cost of owning a German car — not just the sticker price, but every dollar spent across a decade.
Approach Manual collection of every receipt from 2010–2020, categorized across loan, repair, maintenance, insurance, tickets, and registration. Built in Tableau with time-series and Pareto views.
Outcome Total cost of ownership was nearly 2× the purchase price — $65K spent on a $21K car. Post went viral on r/dataisbeautiful and r/personalfinance.
Repo GitHub →
2018
The Whisky Exchange
TWE Whisky Pricing
Python · NLP · scikit-learn · BeautifulSoup
What actually drives the price of a single malt? Scraped 1,500+ whiskies from The Whisky Exchange (with their permission) and built ML models to find out.
Goal · Approach · Outcome
Goal Understand what drives premium whisky pricing — age, distillery, flavour profile, or something else entirely.
Approach Scraped the full TWE catalog with BeautifulSoup, applied NLP to tasting notes and descriptions, ran deductive imputation on missing data, then trained logistic regression and Random Forest classifiers.
Outcome 0.7 accuracy predicting price tiers. Age, vintage, flavour descriptors, distillery, and country of origin all play measurable roles. General Assembly Data Science capstone.
10 flavors in highest rated whisky
Repo GitHub →
🗣️
Natural Polyglot
English, Hindi, Marathi, Mandarin, and French. Learned Mandarin to communicate directly with customers in Taiwan — and it changed how I build trust globally.
📚
Lifelong Learner
For over a decade, I've made a habit of picking up 2–3 new skills every year — from learning to swim at 29 after nearly drowning as a kid, to going from 125 to 180 lbs through strength training, to picking up golf and the craft of parenting in 2025. Reinvention isn't a reset; it's a rhythm.
Global Footprint
35+ cities  ·  18+ countries  ·  4 continents
AI Learning Log

What I'm Exploring

Apr 2025
  • Built a HEIC to JPG batch converter using Claude Code — to upload photos to marketplace listings and eBay
Mar 2025
  • Built this portfolio site end-to-end using Claude Code — zero boilerplate, all conversation
Feb 2025
  • Built Soundburst, an AI-powered audio tool
  • Revamped GitHub profile — cleaned up repos, curated public presence
Education

The Foundation

M.S., Chemical Engineering
University of California, Irvine
2007 – 2009 · Irvine, CA
B.S., Chemical Engineering — First Class
University of Mumbai
2003 – 2007 · Mumbai, India
Data Science Immersive
General Assembly, Washington DC
2017 · Full-time intensive program

Let's build something
great together.

Open to Director / VP of SE roles at AI/ML and enterprise SaaS companies that value technical depth paired with real commercial impact.