I'm an AI engineer and IIT Kanpur graduate with hands-on experience in LLMs, NLP, and automation. At Cognition AI, I build prompt-based workflows with Devin, fine-tune models like GPT-4o and Claude, and lead testing and triaging to improve reliability. I've also published research in biomedical and legal NLP, and worked on real-world AI systems during internships at IBM and Toronto Metropolitan University. I'm now looking for opportunities to build impactful AI tools and push the boundaries of LLM capabilities.
| ๐ Nationality | ๐ฎ๐ณ India |
| ๐ก Residency | ๐ฎ๐ณ India |
| ๐ Location | ๐ฎ๐ณ India |
|
|
rok.co/@shreyasimandal2002 |
| ๐ Website | sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
|
|
sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
|
|
sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
| Skilled in | python js typescript react c c plus plus java html css haskell sql data science machine learning deep learning nlp computer vision cv llm tensorflow pytorch |
| Fluent in | englishhindi |
| Preferred annual pay (min) | $80,000/year |
| Preferred hourly pay (min) | $40/hour |
| Last seen | 5 months ago |
| Signed up | 5 months ago |
| Badges |
๐ฉโ๐ป Remote worker ๐จ Maker |
2024 - Now: AI Engineer @ Cognition
2024 - 2024: Software Engineer Intern @ 2Sigma School
2023 - 2024: Undergraduate Researcher @ IIT Kanpur
2023 - 2023: MITACS Research Intern @ Toronto Metropolitan University
2022 - 2022: Research Intern @ IBM
2023 - 2024: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials
2023 - 2023: Using Attention-based Convolutional Auto-Encoders for Catheter Path Reconstruction in Ultrasound Images
2023 - 2023: Defense Against Adversarial Attacks using Convolutional Auto-Encoders
2022 - 2022: DeCAPTCHA
2020 - 2024: B.Tech, Computer Science and Engineering @ Indian Institute of Technology, Kanpur