Prateek Agasimani

Full Stack Engineer

Bengaluru, Karnataka, India1 yr 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Proficient in Full Stack Development with React and Node.js.
Experience in training large language models and data engineering.
Strong foundation in computer science and problem-solving skills.

Stackforce AI infers this person is a Full Stack Developer with expertise in Machine Learning and Data Engineering.

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Skills

Core Skills

Full Stack DevelopmentApi DevelopmentMachine LearningData Engineering

Other Skills

API integrationAgileAmazon ConnectAnalytical SkillsArduinoArtificial Intelligence (AI)C (Programming Language)Cascading Style Sheets (CSS)Creative Problem SolvingCreativity SkillsData AnalysisData StructuresExploratory Data AnalysisExpress.jsGenerative AI

About

Passionate about the world of technology and driven by a desire to innovate. I am a dynamic and ambitious learner. Solid foundation in programming languages and a keen interest in software development, I am capable of applying my knowledge and skills to real-world scenarios, constantly seeking opportunities to grow and make a meaningful impact in the field of computer science.

Experience

1 yr 5 mos

Total Experience

8 mos

Average Tenure

1 yr 1 mo

Current Experience

Tata consultancy services

Full Stack Developer

Apr 2025 – Present · 1 yr 1 mo · Mumbai, Maharashtra, India · On-site

Working on building and enhancing applications using React, Next.js, and Express.js. I contributed to developing a chatbot for a train application, improving user interaction and accessibility. My role involves frontend and backend development, API integration, and performance optimization. I actively collaborate with cross-functional teams while following Agile practices. This experience is helping me strengthen my technical expertise and problem-solving skills while contributing to impactful projects.

ReactNext.jsExpress.jsAPI integrationperformance optimizationFull Stack Development+1

Turing

LLM Trainer

Jul 2024 – Jan 2025 · 6 mos · Palo Alto, California, United States · Remote

Contributed to training and fine-tuning large language models for specialized tasks. My responsibilities included creating datasets for analytical Q&A, along with data preprocessing, prompt engineering, and model evaluation to improve performance. I also collaborated on projects involving Visual Question Answering (VQA).

large language modelsdata preprocessingprompt engineeringmodel evaluationVisual Question AnsweringMachine Learning+1

Hcltech

Graduate Engineer Trainee

Jul 2024 – Nov 2024 · 4 mos · Bengaluru, Karnataka, India · On-site

As a Graduate Engineer Trainee, I completed foundational training in Linux, Windows, Networking, Agile & Scrum, and Generative AI. This blend of theoretical and practical learning equipped me with strong technical skills to contribute effectively in dynamic project environments.

LinuxWindowsNetworkingAgileScrumGenerative AI