👋 Hi, I'm Smruti Singh

Customer-facing engineer with experience driving end-to-end implementations, integrations, and post-deployment optimization. Strong at translating ambiguous workflows into scalable technical solutions with a product mindset. I bring an ownership-driven approach across building, debugging, and stakeholder communication to ensure adoption and impact.

A portrait of a person.

About Me

I approach engineering the same way I approach Bharatanatyam through structure, rhythm, and precision. Years of classical dance taught me discipline, pattern recognition, and how small misalignments can break an entire system. That mindset now shapes how I approach customer environments: beneath the complexity, there’s always a workflow that can be understood, improved, and rebuilt.

I’ve worked in customer-facing engineering roles where I’ve led end-to-end implementations, integrating enterprise systems (SSO, LDAP, APIs) and taking deployments from kickoff to production. My work focuses on understanding real-world workflows, translating ambiguous requirements into reliable technical solutions, and ensuring systems don’t just go live but actually get adopted and deliver value.

I operate at the intersection of engineering and execution, debugging issues in real time, collaborating with stakeholders, and continuously optimizing systems post-deployment. I care about building solutions that are not just functional, but scalable, repeatable, and aligned with how teams actually work.

Outside of work, reading keeps me grounded. It reinforces that precision and creativity go hand in hand something I carry into every implementation I own: thoughtful, structured, and built with the end user in mind.

Education

University of Illinois Urbana-Champaign logo

Master of Science in Information Management

University of Illinois Urbana-Champaign

Aug 2024 - May 2026

GPA: 3.93/4.0

University of Mumbai logo

Bachelor of Technology in Information Technology

University of Mumbai

Aug 2018 - May 2024

GPA: 9.16/10

Work Experience

University of Illinois Foundation logo

Software Engineer

University of Illinois Foundation

May 2025- May 2026

  • Owned an end-to-end data pipeline from raw CRM data to decision-ready segments - replaced 30+ ad-hoc SQL queries with a single Python ETL engine on a serverless AWS stack (API Gateway → SQS → Lambda), cutting donor list turnaround from 24 hours to 6
  • Built and operated a production integration with a third-party enterprise system (Blackbaud CRM → AWS API Gateway) - added retry logic and structured error handling so campaign uploads of 10,000+ records processed reliably without manual babysitting
  • Designed data-quality safeguards directly into the pipeline - SQL validation views across 60+ campaign segments to catch duplicate donor records before they reached fundraising teams, cutting duplicates from ~5% to ~1%
  • Shipped changes safely at production scale - built automated test suites and GitHub Actions CI/CD pipelines enabling zero-downtime deploys, reinforced by peer code review that cut post-deploy defects by 40%
  • Worked directly with fundraising stakeholders to translate campaign requirements into pipeline logic, ensuring segmentation criteria matched how the team actually made outreach decisions
ARCON TECH Solutions logo

Software Engineer - Implementation

ARCON TECH Solutions

June 2022 - June 2024

  • Served as the forward-deployed technical owner for 15+ enterprise PAM deployments - led architecture reviews mapping each client's network, firewall, and server environment before onboarding, enabling 200+ devices per engagement without production surprises
  • Integrated PAM directly into each client's existing identity stack - connected Active Directory and AWS Secrets Manager to extend secure access to 250+ privileged users per client
  • Debugged and hardened SSO-based authentication in live client environments - mapped SAML assertions and LDAP structures into working SSO configurations, catching identity-provider misalignments before they caused downstream access failures
  • Identified a recurring operational pain point across multiple clients and built the fix unprompted - a Lambda-driven log archival pipeline on S3 that cut forensic log lookup time from 20 minutes to 5 and reduced 90-day storage costs by ~30%; presented the design and cost case directly to client leadership for sign-off
  • Automated deployment consistency to reduce manual configuration risk - built reusable Python tooling with monitoring to catch config drift, cutting deployment time from 5 days to 3
  • Acted as the technical bridge between customers and the product team - partnered with sales pre-close to scope proof-of-concepts around real client pain points, then owned delivery and stabilization of those same engagements post-close
  • Stayed embedded with clients post-launch through a scheduled escalation rotation, iterating until each environment reached steady-state operation independently

Skills

Languages

Python
SQL
JavaScript
TypeScript
HTML
CSS

Cloud

AWS
Lambda
S3
Redshift
Google Cloud
API Gateway

Tools & Frameworks

Node.js
REST APIs
React
Next.js
FastAPI
Docker
Git/Github
Jira
Confluence

Databases

MSSQL Server
MySQL
PostgreSQL
MongoDB
Data Modeling

AI & ML Systems

RAG pipelines
Prompt Engineering
Hugging Face
LLM Evaluation Frameworks
Structured Output Validation
Vector Embeddings

Identity Management

SSO
SAML
LDAP
Active Directory
JSON
Authentication & Authorization
Firewall / Network Integrations

Soft Skills

Technical Problem Solving
Team Collaboration
Communication
Agile Methodologies

Certifications

My credentials from industry-leading organizations.

AWS certification logo.

AWS Certified Solutions Architect - Associate

Amazon Web Services - 2025

AWS
Cloud Computing
Architecture
AWS certification logo.

AWS Certified Cloud Practioner

Amazon Web Services - 2025

AWS
Cloud Computing
Architecture
HackerRank certification logo.

HackerRank SQL (Intermediate) Certificate

HackerRank - 2025

Python
Algorithms
Data Structures
Google certification logo.

Google Data Analytics

Google Cloud - 2024

GCP
BigQuery
Dataflow

Projects

MedScribe RAG

Python
Whisper (ASR)
LLM API (OpenAI/Anthropic)
hybrid retrieval (BM25 + dense embeddings + reranking)
Pytest

Designed a two-stage LLM pipeline turning raw EMS call audio into validated insurance billing records - speech transcription (Whisper) → structured medical data extraction → automated insurer matching - reaching 96% field accuracy across 9 real-world call scenarios

EdgeMind - Offline-First On-Device RAG AI Assistant

Kotlin
Jetpack Compose
NexaSDK
Llama 3.2 3B
ObjectBox HNSW
Python
FastAPI
Qdrant
Hilt
Retrofit

Built an offline-first Android AI assistant that runs Llama 3.2 3B entirely on-device using NexaSDK with Qualcomm Snapdragon NPU acceleration and automatic CPU/GPU fallback for non-Elite devices.

OrderPilot

React
TypeScript
Node.js
OpenAI Whisper
OpenAI GPT-4

Architected a kiosk and mobile application using React and TypeScript, enabling touch and voice-based interactions.

SnapSplit - AI Powered Receipt Parsing & Expense Splitting

Next.js
TypeScript
PostgreSQL
Supabase
Prisma
OpenAI GPT-4o Vision
NextAuth.js
Cloudinary
Zod
Tailwind CSS

Built a full-stack AI-powered receipt parsing and expense splitting application that uses GPT-4o Vision for structured extraction from receipt photos, with confidence scoring and a human-in-the-loop review and correction workflow.

Netflix Churn Analysis

Python
Regression
Jupyter Notebook
Machine Learning

Defined churn from user inactivity and used exploratory data analysis to surface the strongest risk signals - engagement level and favorite-genre patterns.

Credit Card Fraud Detection

Machine Learning
Random Forest
Pandas
Numpy
Scikit-learn

Framed fraud detection around behavioral signals rather than transaction size - engineered features for transaction velocity, device/IP changes, and timing patterns (night-time, weekend, prior-fraud history) to capture sequential intent, inspired by behavior-trace classification research from JPMorgan Chase AI.

Leadership & Initiatives

Beyond coding, I am driven by a desire to lead initiatives that create meaningful social impact and empower the communities around me.

Course Assistant, GIES-Business 401

Led and facilitated 3 weekly small-group sessions (10–20 students each), creating an inclusive environment for collaboration and learning.

Excel
TeamWork
Collaboration
Problem Solving

Research Assistant, CHIME

Quantified the correlation between fluctuating climate variables and regional mortality rates to provide data-driven insights for public health policy.

Data Analysis
Statistics
Stakeholder Communication

Curriculum Head, ICHCHHA

Worked as a subject curriculum head where designing question papers, outline of portion for standard 8th and 9th.

Mentorship
Problem Solving
Technical Guidance

Get in touch

Have a question or want to work together? Feel free to reach out.

San Francisco, CALIFORNIA

I am available for full-time opportunities.