Akarsh Gajbhiye

Co-Founder

Bengaluru, Karnataka, India6 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in architecting high-scale AI systems.
Proven track record in real-time systems engineering.
Strong focus on adversarial AI and system robustness.

Stackforce AI infers this person is a Backend-heavy AI and Logistics Engineer with expertise in high-scale systems.

Contact

akarshgajbhiye@gmail.com LinkedIn

Skills

Core Skills

High-scale InfrastructureAgentic SystemsReal-time SystemsHigh-scale ArchitectureMachine LearningNatural Language Processing

Other Skills

AWS BatchAmazon Web Services (AWS)BackendC (Programming Language)C++Data ScienceDevOpsDjangoFargateFlaskFull-Stack DevelopmentGoogle Cloud Platform (GCP)Google OR-ToolsHTMLImage Processing

About

I build systems that handle scale, and I architect them to survive. Currently, as a Founding Engineer at Coreworks AI, I am building the 0→1 foundational infrastructure for an enterprise Document AI platform. My work focuses on the intersection of high-performance platform engineering and agentic AI orchestration. Core Expertise: * Agentic Systems: Designing production-grade document understanding workflows using LangGraph, enabling self-correcting, multi-step extraction over complex enterprise data. * High-Scale Infrastructure: Re-engineered core ingestion platforms into multi-tier execution systems using AWS Batch, Fargate, and Redis to optimize latency and handle massive datasets. * Real-Time Systems: Previously at Blitz, I owned the core dispatch platform, scaling it to 1M+ daily requests and solving intense race conditions for real-time order assignment. Adversarial AI & System Robustness: Beyond building, my focus is on Hardening. I view agentic workflows through an adversarial lens—identifying failure points, prompt injection risks, and system-level vulnerabilities before they hit production. I specialize in making AI deployments "Enterprise-Ready" by ensuring they are secure, predictable, and resilient against edge-case exploitation. I bridge the gap between "it works on my machine" and "it is bulletproof at scale."

Experience

6 yrs 1 mo

Total Experience

1 yr 9 mos

Average Tenure

8 mos

Current Experience

Coreworks ai

Founding Engineer

Oct 2025 – Present · 8 mos

Architecting the 0→1 foundational infrastructure and agentic platform layer for an enterprise Document AI system.
Multi-Tier Execution: Re-engineered the core ingestion platform into a multi-tier system, dynamically routing workloads serverless async workers based on queue pressure .
Agentic Systems: Designed and productionized an agentic document understanding system using LangGraph, orchestrating multi-step extraction, validation, and autonomous correction workflows.
High-Scale Ingestion: Built distributed async enrichment engines for massive Excel workbooks (~500K rows) using presigned S3 uploads and Redis-backed workers.
Performance Engineering: Resolved production OOM and latency failures by introducing early file-shape detection, incremental chunking, and memory-stage isolation.
Scaling Infra and Platform for AI Native Platform .

LangGraphAWS BatchFargateRedisHigh-Scale InfrastructureAgentic Systems

Blitz

Sr. Software Development Engineer

Jun 2022 – Oct 2025 · 3 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Primary owner of the core dispatch and logistics platform, architecting and scaling systems to handle 1M+ daily requests across distributed services.
Quick Commerce & Dispatch Verticle: Led the development of the high-concurrency dispatch engine, managing real-time assignment algorithms for rapid fulfillment.
Real-Time Order Rollout & Guaranteed Assignment: Engineered a high-throughput offer-acceptance system handling intense race conditions. The system ranks available riders based on proximity and SLA constraints using Google OR-Tools, rolls out offers, and ensures atomic, guaranteed assignment to the first responder while instantly neutralizing competing offers.
Geospatial RAG & Intelligence: Built a production RAG system that ingested real-time delivery coordinates and merged them with unstructured data to create a high-precision address intelligence layer.
Applied LLMs: Fine-tuned and self-hosted LLaMA 3.1 models for address normalization and NER, deploying GPU-backed inference on RunPod into production geolocation workflows.
High-Scale Architecture: Built the core backend (Java/Python) for order lifecycle and inventory, optimizing async execution and query patterns to maintain high-write throughput.
Technical Leadership: Led execution for the platform team and mentored two engineers in building production-grade distributed systems.

JavaPythonGoogle OR-ToolsReal-Time SystemsHigh-Scale Architecture

Poli

Co-Founder

Feb 2022 – Jun 2022 · 4 mos

Built the "Control Room" for community managers to measure and automate engagement across Slack and Discord.
Platform Engineering: Developed the core analytics engine that ingested and processed real-time activity data from Slack and Discord APIs to track community health and growth metrics.
Zero-to-One Execution: Owned the full-stack development from ideation to initial user onboarding, participating in high-level venture capital meetings and product-market fit iterations.
Infrastructure: Architected a scalable data pipeline to handle event-driven messaging data, ensuring low-latency reporting for active communities.