Shrijeeth S

I'm Shrijeeth S

Building production AI systems — 500K+ transactions, 97% accuracy, sub-50ms latency. From fine-tuning models to deploying at scale on GCP.

01

About

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Years Exp
0K
K+ Txn/Month
0%
Accuracy
<0ms
Latency

AI/ML engineer with ~3 years shipping production LLM systems, multi-agent pipelines, and low-latency inference services. Comfortable working across the full stack — from fine-tuning models to deploying FastAPI services on GCP. Previously joined Knowledge Keeper as founding engineer, building core AI infrastructure from scratch.

B.E. Computer Science

Rajalakshmi Engineering College, Chennai · 2023

9.22
GPA
Deep Learning Specialization — DeepLearning.AI
shrijeeth@portfolio:~
____ _ _ _ _ _ / ___|| |__ _ __(_)(_) ___ ___| |_| |__ \___ \| '_ \| '__| || |/ _ \/ _ \ __| '_ \ ___) | | | | | | || | __/ __/ |_| | | | |____/|_| |_|_| |_|/ |\___|\___|\__|_| |_| |__/ v3.0
// Welcome to Shrijeeth's terminal. Type help to see commands.
02

Experience

Software Development Engineer (AI/ML)

Shopup · Bengaluru

Nov 2025 – Present
[ - ]
  • Built Generator-Critic multi-agent system for invoice parsing — 500K+ txn/month, 97% accuracy, 40% fewer false positives.
  • Designed credential injection layer preventing API keys from reaching LLM context — adopted across all internal tools.
  • Real-time ML pipelines via Temporal — sub-50ms latency, 30% higher throughput vs Airflow/Prefect.
  • Lead architecture across 5+ GCP projects with Docker, Arize Phoenix, MongoDB, PostgreSQL.
  • Built SilqClaw: AI agent orchestration platform automating full dev lifecycle across engineering.
  • Train interns on AI/ML practices; conduct Round 1 & 2 technical interviews for SDE candidates.

AI Engineer (Founding Engineer)

Knowledge Keeper · Remote

Aug 2024 – Nov 2025
[ + ]

Software Development Engineer (AI/ML)

Shopup · Bengaluru

Jun 2023 – Aug 2024
[ + ]

SDE Intern → ML Intern

Shopup / AMTDC · Bengaluru / Chennai

Dec 2021 – Jun 2023
[ + ]
03

Projects

project_01.sh

> SilqClaw

AI agent orchestration platform: agent creation, tool assignment, skill management, and access control across the engineering team.

PythonFastAPIMulti-AgentPlatform
project_02.sh

> QueryGPT ADK

Multi-agent NL-to-SQL with LLMs + Qdrant vector search. JWT auth, Redis rate limiting, Ollama + OpenAI backends.

LLMsQdrantRedisADK
project_03.sh

> Compliance Monitor

YOLO11 + Qwen3 VLMs on Kafka + FastAPI replacing 75% of manual compliance review in real-time.

YOLOVLMKafkaRT
project_04.sh

> Phi-3 Fine-tuning

Fine-tuned Phi-3-mini-128k on Text-to-SQL dataset using PEFT + LoRA for natural language to SQL generation.

PEFTLoRAPhi-3SQL
project_05.sh

> Go Fiber Template

Production-ready backend starter: OAuth, cloud storage, transactional email, async tasks via GoCraft + Redis.

GolangFiberOAuthRedis
project_06.sh

> Doc Automation

CrewAI + Qdrant + FastAPI multi-agent system for 10+ document types — 80% less manual processing.

CrewAIQdrantAgents
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Skills

Languages

PythonGolangTypeScriptJavaScript

AI / ML

LLM Fine-tuningMulti-Agent SystemsRAGNLPComputer VisionTransformersPrompt EngineeringMLOps

ML Frameworks

PyTorchTensorFlowHugging FacePEFTLoRABitsAndBytesScikit-LearnvLLM

Backend & DevOps

FastAPIFlaskGolang FiberNestJSDockerGCPGitHub ActionsTemporalKafka

Databases & Storage

PostgreSQLMongoDBQdrantRedisWeaviate

Tools & Practices

CI/CDMLOpsCeleryEasyOCRPandasNumPyArize Phoenix
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Contact