Sanka Akash

Software Engineer

Chennai, Tamil Nadu, India2 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Built AI systems reducing manual effort by 50-60%.
Developed solutions used by 5000+ users across multiple plants.
Recipient of 3+ innovation awards for AI solutions.

Stackforce AI infers this person is a Full-Stack AI/ML Engineer in the Manufacturing sector.

Contact

vtu17042@veltech.edu.in LinkedIn

Skills

Core Skills

Full-stack DevelopmentMachine LearningArtificial Intelligence (ai)

Other Skills

AI chatbotAI-powered automationAI/ML modelsAgile methodologyAmazon Web Services (AWS)Analytical SkillsAnalyticsAngularJSAnnotationAttention to DetailBlockchainC (Programming Language)C++Cascading Style Sheets (CSS)Cloud Computing

About

Full-Stack AI / ML Engineer with 1.6+ years of experience building enterprise-grade AI systems and full-stack applications used by 5,000+ users across 6 global manufacturing plants. I work across Machine Learning, Generative AI (LLMs, RAG, AI agents), and full-stack development using Python, Java, React, and Spring Boot. My experience includes prompt engineering, vector databases (FAISS), semantic search, and deploying AI services on cloud platforms with Docker, Kubernetes, and CI/CD pipelines supporting production workloads. At Lennox, I build AI-powered enterprise systems that automate label generation, intelligent search, and workflow intelligence—reducing manual effort by 50–60%, improving turnaround time by ~50%, and supporting 100K+ labels in daily operations. Recipient of 3+ ideathon and innovation awards for delivering production-ready AI and GenAI solutions. Actively interested in applied AI roles where ML and software engineering meet at scale.

Experience

2 yrs

Total Experience

2 yrs

Average Tenure

2 yrs

Current Experience

Lennox

2 roles

Associate Software Engineer

Apr 2025 – Present · 1 yr 2 mos · On-site

Graduate Engineering Trainee

Jun 2024 – Apr 2025 · 10 mos · On-site

Developed the NEXGEN Label Management System using React, PLSQL, and
Spring Boot, enabling efficient data management for 5000+ users.
Implemented AI/ML models to optimize label management and improve
operational efficiency across 4 plants.
Designed and optimized SQL database schemas, and integrated role-based
access controls to ensure secure and efficient data access.
Utilized Drools for business rule management, Maven for backend builds, Yarn
for package management, and Tailwind CSS forresponsive UI design, following
Agile methodology foriterative development and deployment via GitHub

ReactPLSQLSpring BootAI/ML modelsSQL database schemasrole-based access controls+8

Juniper networks

AI Intern

Jan 2023 – Jul 2023 · 6 mos · Remote

1️⃣ Developed an AI-Driven Network Troubleshooting Assistant using LLMs and NLP, automating diagnostics and reducing manual effort by 40%.
2️⃣ Built and fine-tuned anomaly detection models for predictive network maintenance, improving incident detection accuracy by 35%.
3️⃣ Integrated AI-powered automation into network infrastructure, leading to a 30% reduction in downtime and enhanced system resilience.
4️⃣ Optimized AI chatbot for network engineers, accelerating issue resolution and improving efficiency by 50%.

LLMsNLPanomaly detection modelsAI-powered automationAI chatbotArtificial Intelligence (AI)+1