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All Might LegendAL
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All Might Legend

@allmightlegend

ML Engineer and Full-Stack Developer focused on scalable AI solutions.

India
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What I'm looking for

I seek roles where I can build and deploy production ML systems and full-stack applications, work in collaborative fast-paced teams, and focus on measurable product impact and scalable architecture.

I am an ML Engineer and Full-Stack Developer with hands-on experience building LSTM-based models for user behavior prediction and deploying scalable web applications. I bring practical startup experience at Force, where I reduced model latency by 20% and improved UI response time by 38%.

My technical toolkit spans JavaScript/TypeScript, Python, React/Next.js, Node.js, TensorFlow, and cloud/DevOps tools like Docker and Kubernetes. I have shipped projects including AI summarization tools, interactive 3D web experiences, a Solana DeFi token swapper, and a traffic-congestion LSTM model that qualified for the Smart India Hackathon 2024.

I emphasize clean architecture, measurable product impact, and automation: I’ve built analytics dashboards, microservices, and n8n workflows for AI-powered hiring, social media analysis, ad-copy generation, and onboarding automation. I learn rapidly and collaborate well in fast-paced teams to deliver production-ready systems.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

TL

Techno Main Salt Lake

Bachelor of Technology, Computer Science & Engineering (AI & ML)

Grade: 8.4/10.0

Pursuing B.Tech in Computer Science & Engineering (AI & ML) with a CGPA of 8.4/10.0; graduation expected June 2026.

KA

K.E. Carmel School, Amtala

ISC (12th), Higher Secondary Education

Grade: 95.25%

Completed ISC (12th) with a percentage of 95.25%.

KA

K.E. Carmel School, Amtala

ICSE (10th), Secondary Education

Grade: 95%

Completed ICSE (10th) with a percentage of 95%.

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All Might Legend - ML Engineer - Force | Himalayas