Brejesh Balakrishnan

Machine Learning Engineer · GenAI / LLM Engineer Bengaluru, India

Brejesh Balakrishnan.

Building reliable ML & GenAI systems — from data to deployment.

Machine Learning Engineer

  • 1.5+ years of production engineering at Accenture — AWS-hosted REST APIs, >90% automated test coverage, high-latency responses cut from ~80% to <20%
  • Ship LLM / RAG applications: agentic LangGraph pipelines, dense retrieval (Pinecone, FAISS), retrieval evaluation (recall@k, MRR, nDCG) and faithfulness / grounding checks
  • Full MLOps in production — MLflow champion/challenger registries, Evidently drift monitoring, CI model-quality gates, Docker — with systems deployed live
Portrait of Brejesh Balakrishnan
@brej-2912.9716° N, 77.5946° E

Actively interviewing: ML / GenAI Engineer (Bengaluru · Remote) — available immediately

01Selected work

Projects built to ship, not to demo.

End-to-end ML and data systems — trained, evaluated, deployed, and documented.

All projects

02Experience

Production engineering first.

The reliability habits — testing, profiling, code review — come from shipping enterprise software, and they carry into every ML system I build.

Accenture

Jul 2024 – Mar 2026

Advanced Application Engineering Analyst

UnisLink

Jul 2023 – Aug 2023

Data Engineering Intern

Yaltech Global Consulting

Jul 2022 – Sep 2022

Machine Learning Intern

Youth India Foundation

Jan 2022 – Mar 2022

Sponsorship Intern

TREC-STEP

Apr 2021 – Jun 2021

Incubation & Proposals Intern

Full timeline
0+

Story Points Delivered

Agile delivery on a financial-services platform at Accenture

0% → <20%

High-Latency Responses Cut

AWS REST APIs fixed via profiling, SQL tuning, and caching

0%+

Automated Test Coverage

Unit, contract, and BDD tests tracked via SonarQube

03Stack

Tools chosen for the whole lifecycle.

From exploration to training to serving — and the engineering around it.

Programming
PythonJavaJavaScriptTypeScriptHTMLCSS
Data
SQLPandasNumPyMySQLMongoDBRedis
ML
scikit-learnXGBoostLightGBMCatBoostOptuna (HPO)SHAP (Explainability)
Deep Learning
TensorFlowPyTorch
GenAI/NLP
Hugging FaceTransformers (NLP)RAG (Retrieval Augmented GenAI)LangChainLangGraphPineconeFAISSsentence-transformersLLM APIs (Groq · Gemini)Retrieval Evaluation (recall@k · MRR · nDCG)
MLOps
MLflowDVCDagsHubPandera (Data Contracts)Evidently (Drift Monitoring)
DevOps
DockerGitHub ActionsJenkinsSonarQubePrometheus
Frameworks
FastAPIFlaskStreamlitSpring BootReactAngular
Cloud
AWSAWS SageMakerAWS S3AWS LambdaAWS CloudWatch
Tools
GitGitHubJupyterVS CodePostmanJiraConfluenceSlackpytest
Visualization
Power BIMatplotlibPlotlySeaborn

04Contact

Let's build something reliable.

brejesh.bala@gmail.com

Open to Machine Learning / GenAI roles — available immediately