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Brejesh Balakrishnan
From India 12:16 PM (GMT+05:30)
$14,500/yr

Active 2 hours ago


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AI/ML Engineer

Machine Learning Engineer
Available for hire
Years of experience
0+ years
Experience level
Junior
Available for
Full-time, Contract
Available from
29 Jul 2026
Download Resume / CV

I'm a machine learning engineer who spent a year and a half writing Java at Accenture on a financial-services platform, then walked away from that track on purpose to build production ML systems instead. I've shipped a RAG backend with an 8-node LangGraph pipeline and my own retrieval-eval harness, fine-tuned a 7B model with QLoRA, and built an event-driven safety platform that classifies incident severity from real mine-safety reports. What makes me different isn't one specialty — it's that I build the evaluation before I trust the model, in every project, including the time I found a hosted reranker was actually making results worse and killed it instead of shipping it anyway.

I'm looking for AI/ML or GenAI engineering roles where I can keep building systems people actually rely on, ideally ones open to remote work. Bengaluru is home base, but I'd rather work from wherever the team needs me to be.

Employment History

Advanced Application Engineering Analyst at Accenture 2024 - 2026
• Optimized AWS-hosted REST APIs (Java / Spring Boot), cutting high-latency responses (>5s) from ~80% to <20% via profiling, SQL query tuning, and caching on a financial-services platform. • Delivered 200+ story points across Agile / Scrum sprints, translating ambiguous requirements into production features and collaborating across UI, QA, and DevOps teams. • Maintained >90% automated test coverage (unit, contract, BDD) tracked via SonarQube; strengthened CI/CD reliability through code reviews, linting / test gates, and root-cause-driven defect closure. • Built and modified REST endpoints with business-rule logic; debugged DevOps pipeline issues and optimized release workflows on AWS (Jenkins CI/CD).
Data Engineering Intern at Unislink 2023 - 2023
• Researched and benchmarked natural-language-to-SQL (NLQ / NL-to-SQL) approaches, documenting accuracy–complexity tradeoffs to guide early product direction. • Built and validated SQL Server replication / synchronization checks and a replication test plan to improve data consistency across large tables.
Machine Learning Intern at Yaltech Global Consulting 2022 - 2022
• Trained and cross-validated classification / regression models (Logistic Regression, Random Forest) in Python / scikit-learn, evaluating with cross-validation and standard metrics. • Performed EDA, data cleaning, and feature engineering (Pandas / NumPy); communicated findings to non-technical stakeholders with clear visualizations.

Education

Bachelor of Electronics and Communication Engineering at College of Engineering Guindy, Anna University 2020 - 2024