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Hi, I’m Manvik Talwar, an AI/ML engineer focused on backend systems and production-grade AI solutions. I design and implement RAG pipelines, optimize LLM-powered workflows, and build scalable APIs using FastAPI, Flask, and Node.js to deliver reliable, low-latency experiences. I’ve shipped hands-on projects across AI/ML, data engineering, and cloud DevOps, collaborating with teams to improve latency, throughput, and model quality in real-world workflows.…Hi, I’m Manvik Talwar, an AI/ML engineer focused on backend systems and production-grade AI solutions. I design and implement RAG pipelines, optimize LLM-powered workflows, and build scalable APIs using FastAPI, Flask, and Node.js to deliver reliable, low-latency experiences. I’ve shipped hands-on projects across AI/ML, data engineering, and cloud DevOps, collaborating with teams to improve latency, throughput, and model quality in real-world workflows.

Manvik Talwar

AI Developer, Data Scientist, Full Stack Developer, +5

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Hi, I’m Manvik Talwar, an AI/ML engineer focused on backend systems and production-grade AI solutions. I design and implement RAG pipelines, optimize LLM-powered workflows, and build scalable APIs using FastAPI, Flask, and Node.js to deliver reliable, low-latency experiences. I’ve shipped hands-on projects across AI/ML, data engineering, and cloud DevOps, collaborating with teams to improve latency, throughput, and model quality in real-world workflows.…Hi, I’m Manvik Talwar, an AI/ML engineer focused on backend systems and production-grade AI solutions. I design and implement RAG pipelines, optimize LLM-powered workflows, and build scalable APIs using FastAPI, Flask, and Node.js to deliver reliable, low-latency experiences. I’ve shipped hands-on projects across AI/ML, data engineering, and cloud DevOps, collaborating with teams to improve latency, throughput, and model quality in real-world workflows.

Available to hire

Hi, I’m Manvik Talwar, an AI/ML engineer focused on backend systems and production-grade AI solutions. I design and implement RAG pipelines, optimize LLM-powered workflows, and build scalable APIs using FastAPI, Flask, and Node.js to deliver reliable, low-latency experiences.

I’ve shipped hands-on projects across AI/ML, data engineering, and cloud DevOps, collaborating with teams to improve latency, throughput, and model quality in real-world workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Backend Engineering Intern at TechLearn

March 1, 2026 - Present

Developed Dashboard Stats API aggregating real-time KPIs across student/educator data; adopted as primary analytics endpoint. Built Filtered Submission API with cursor-based pagination, reducing submission list load time by 5×. Implemented trend, completion, and volume analytics APIs with query-level optimizations yielding 40% faster response times. Formulated Submission schema with composite indexes, improving throughput and reliability under high concurrency.

AI Development Intern at Path Infotech

June 1, 2025 - August 1, 2025

Architected and deployed 'Sofia' — an enterprise RAG chatbot improving internal knowledge retrieval and employee productivity; live on company servers. Engineered semantic search pipeline with custom skillsets for PDF text/image indexing, reducing API response latency by optimizing routing and payload size. Built citation management system with MySQL tagging, enabling clickable source references in every LLM response. Designed prompt engineering strategies to improve response relevance and consistency in LLM-based enterprise workflows. Evaluated LLM performance using latency, accuracy, and response quality metrics to optimize user-facing AI features.