Skip to main content
✦
Forward Deployed AI Engineer

Karandeep Singh Talwar

Bring me an idea, a Figma design, an unfinished product, a broken app, or a process that needs improvement. I can scope it, build it, ship it to production, or take ownership of what comes next.

Scroll to explore
02 // MANIFESTO & FIRST PRINCIPLES
“IbuildsoftwaresolutionsacrossAIengineering,applicationdevelopment,intelligentautomation,anddataanalytics,helpingbusinessessolveproblems,streamlineoperations,andbringproductstolife.”
03 // PRODUCTION ARCHITECTURES

Selected Systems & Architectures

Deterministic multi-agent orchestrations, econometric pricing algorithms, and high-throughput enterprise pipelines running live in production.

[ 01 ]GenAI & Agent Systems
LIVE

OpsCrew

B2B Pricing Analyst & Demand Planner AI System

AI pricing and demand tool for a multi-warehouse materials distributor. I built two AI agents to audit 17,208 sales records and 2,913 custom price lines, separating AI reasoning from core math so the system never hallucinates numbers. Caught $140k+ in uncontracted margin leaks and cut manual audit time from hours to 140ms.

17,208ERP Rows Analyzed
2,913Contract Price Lines
#Next.js 16#TypeScript#OpenAI Tool Calling#Tailwind CSS+2 more
Inspect System Flowchart & Case Study
[ 02 ]Econometric ML & Pricing
LIVE

Hotel RMS

Predictive Dynamic Pricing & Revenue Management System

Automated pricing and revenue system for a 640-room boutique hotel group. I built an ML forecasting model that adjusts room rates for event demand and competitor prices, paired with an AI assistant that explains every rate change in plain English. Hoteliers approve live price updates with one tap on WhatsApp in under 5 seconds.

Kaplan-MeierDemand Estimation
Haversine DistanceSpatial Modeling
#Python 3.13#XGBoost#Lifelines#NumPy/Pandas+4 more
Inspect System Flowchart & Case Study
[ 03 ]Distributed Workflows
LIVE

TimeRecon

TimeRecon Workday Reconstruction Platform

Workday reconstruction tool that turns GitHub commits, Jira tickets, and Google Calendar events into billable timesheets. I built a resilient background pipeline with zero employee tracking or screen monitoring. Cut daily timesheet logging from 30 minutes to under 60 seconds with over 85% auto-match accuracy.

<60 secDaily Logging Time
>85%Auto-Allocation Match
#Next.js 14+#Temporal.io#TypeScript#Prisma ORM+4 more
Inspect System Flowchart & Case Study
[ 07 ]GenAI & Agent Systems
LIVE

Chrome LeadFinder

AI Browser Automation & Lead Verification Engine

Chrome extension that extracts and verifies sales leads directly inside the browser. I built an in-tab scraper with an async AI evaluation pipeline, filtering out fake profiles and dead links without triggering platform rate-limits or bot blocks. Doubled verified lead output to 1,500 qualified records per day.

1,500/dayScraping Throughput
ActiveSession Defense
#JavaScript#Chrome Extensions MV3#OpenAI API#Async Queue+2 more
Inspect System Flowchart & Case Study
[ 08 ]Enterprise Data & Ingestion
LIVE

Enterprise Core

Enterprise Cloud RAG & Data Infrastructure

Internal AI search assistant and automated billing engine for an enterprise workplace provider. I replaced error-prone manual spreadsheets with an auditable calculation pipeline and connected an Amazon Bedrock assistant for company HR policies. Saved 20+ hours a month in billing disputes.

AutomatedBilling Workflow
InstantHR Query Grounding
#Amazon Bedrock#Python#MS SQL Server#ASP.NET Core+3 more
Inspect System Flowchart & Case Study

DRAG TO SWIVEL · CLICK CARD TO INSPECT ARCHITECTURAL SPECIFICATION

Stack

What I reach for in production, roughly in order of how much of it I've actually shipped. Agent orchestration, tool calling, and streaming pipelines sit on top of the core.

Core
TypeScript
Python
React
Next.js
Node.js
PostgreSQL
SQL
AI & Agents
OpenAI
Anthropic
Amazon Bedrock
LangChain
Temporal.io
RAG
Pydantic
Data & Analytics
Power BI
DAX
Pandas
NumPy
MS SQL Server
XGBoost
Lifelines
Backend & APIs
FastAPI
Express
ASP.NET Core
Redis
GraphQL
SQLite
SSE
Socket.IO
Infrastructure
Docker
AWS
Vercel
Supabase
Neon DB
Prisma
Drizzle
Stripe
Also & Tooling
Playwright
Sanity CMS
Shopify
Tailwind CSS
Chrome MV3
PyMuPDF
Bun
Go
Rust
MongoDB
04 // PRODUCTION CREDITS & RECORD

Engineering & Analytics Experience

Download Official Resume PDF
Sept 2025 // PresentNoida, IN · B2B SaaS Analytics & Engineering Firm

Analytics Engineer at PockIT Engineers

  • Architected the production MS SQL Server backend from scratch, implementing normalized schemas, indexing, and stored procedures to boost query performance.
  • Engineered an ASP.NET REST API layer encapsulating database procedures into reusable, production-ready microservices.
  • Designed enterprise KPI data models and structured reporting frameworks, eliminating calculation discrepancies across daily operations.
  • Collaborated cross-functionally across product, business, and engineering teams to translate stakeholder requirements into scalable data solutions.
#MS SQL Server#Stored Procedures#ASP.NET#Index Tuning#Power BI
July 2025 // PresentRemote · Enterprise Workplace Services Provider

Data Analyst at Ovation Workplace Services

  • Engineered an automated pre-invoice billing engine in Python and SQL, calculating multi-tier technician work types and eliminating manual billing errors.
  • Built executive Power BI profitability suites with multi-year trend modeling and DAX drill-downs to inform leadership decisions.
  • Developed a payment-delay monitoring dashboard with time-band analytics, accelerating collections and mitigating cash-flow risk.
  • Deployed an Amazon Bedrock RAG onboarding chatbot, centralizing corporate policy retrieval and deflecting routine HR administrative tickets.
#Power BI#SQL#RAG#Amazon Bedrock#Python#DAX
Mar 2025 // May 2025New Delhi, IN · Smart Systems & IoT Analytics Firm

Data Analyst Intern at Heimatverse

  • Executed end-to-end data cleaning, transformation, and EDA workflows in Python, building stakeholder KPI dashboards to surface operational trends.
  • Researched AI-IoT smart devices, analyzing energy consumption patterns and carbon-footprint reduction models for connected environments.
#Python#Pandas#NumPy#EDA#Data Visualization