Sayantika Laskar

AI Developer Intern @ Akai Space | VIT\'26 | CSE(Health Informatics) | GSSoC\'24 Contributor | Mentee @ CWB\'25

Role: Ai Developer Intern at Akai Space
Location: Agartala, IN
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Sayantika Laskar

Passionate Forth-Year B.Tech Student | Exploring the Depths of Machine Learning 🤖 At Vellore Institute of Technology, Bhopal pursuing BTech CSE(specialization in Health Informatics) Diving deep into the realms of Machine Learning, I am actively engaged in coursework that spans supervised and unsupervised learning, natural language processing, and computer vision. Excited about the potential of ML to revolutionize industries and solve complex problems

Experience

Ai Developer Intern
Akai Space
Jul 2025 — Present · Mumbai, IN
Curated and labeled large-scale video datasets for video-to-text model training, implementing quality assurance protocols and annotation guidelines that improved dataset consistency and reduced model training errors2. Developing a custom video-to-text transformation model from scratch using deep learning frameworks (TensorFlow/PyTorch), incorporating computer vision and NLP techniques to extract and convert visual content into accurate textual descriptions.3. Optimized data preprocessing pipelines for video analysis workflows, including frame extraction, temporal feature encoding, and text generation algorithms, resulting in faster processing times and improved model inference speed

Education

Hindi Higher Secondary School Agartala
Intermediate Cbse (Science)
2020 — 2022
Holy Cross School Agartala
Matriculation AISSCE
2008 — 2020
Vellore Institute of Technology (VIT)
Bachelor of Technology - BTech
2022 — 2026

Contact information

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Current company

Akai Space

Software Development · 9 employees · Founded 2024 · Mumbai, Maharashtra, India

Akai Space builds infrastructure for scaling AI data. We began by solving a fundamental problem in AI development: creating reliable systems for large-scale human data collection and annotation through distributed workforce operations. That foundation now extends into the next frontier of AI infrastructure: embodied intelligence. As vision-language-action (VLA) models and physical AI systems begin entering their scaling era, the bottleneck is no longer just model architecture—it is data infrastructure. Unlike language models, embodied AI still lacks scalable, repeatable systems for collecting, processing, and operationalizing real-world interaction data. Akai Space is building that stack. Our work spans the full embodied data infrastructure loop: • Egocentric data capture systems • Large-scale field data operations • Data processing and embodied training pipelines • Research on scaling data for physical AI systems Alongside this, Akai Earn serves as our distributed human data operations layer—enabling scalable annotation, collection, and workforce orchestration across AI data workflows. Our thesis is simple: The next major breakthroughs in AI will come not just from better models, but from better infrastructure for generating the right data. We’re building the systems that make that possible.

akaispace.xyz

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About Sayantika Laskar

Experience

Ai Developer Intern

Education

Hindi Higher Secondary School Agartala

Holy Cross School Agartala

Vellore Institute of Technology (VIT)

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