Sanchit Verma

Data Scientist

Uttarakhand, India4 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI with a focus on computer vision and NLP.
Developed AI pipelines for drug discovery and e-commerce.
Recipient of Best B.Tech Project Award from IIT Roorkee.

Stackforce AI infers this person is a Data Scientist specializing in AI applications across healthcare and e-commerce.

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Skills

Core Skills

Artificial Intelligence (ai)Deep Learning

Other Skills

Anthropic ClaudeBERT (Language Model)C++ChatGPTClosed-Circuit Television (CCTV)CohereComputer ScienceDockerEDAEmotional IntelligenceFastAPIGPTGenerative Adversarial Networks (GANs)GitLarge Language Models (LLM)

About

Experienced in applied Artificial Intelligence to solve problems across diverse problem domains, specialising in computer vision, Audio Deep learning, Natural Language Processing, Satellite Imagery, Medical Imaging. Proficient in developing AI models across detection, segmentation, classification tasks applied to audio, video, cctv & satellite image data, to advanced problems like Text-to-Speech, Speech-to-text, optical flow, monocular depth estimation for depth & 3D reconstruction, My expertise is complemented by a strong skill set in Docker, Git & Pytorch (torch) enabling efficient model development and deployment. This is backed by my research experience under the guidance of some eminent professors, Prof. Partha Pratim Roy at Parimal Labs (IIT Roorkee), Prof. R Balasubramaniam (IIT Roorkee), Prof. Chetan Arora(IIT Delhi) Passionate about leveraging data science & machine learning to push the boundaries of innovation and contribute to cutting-edge solutions. An IIT Roorkee Graduate and recipient of the Best B.Tech Project Award, demonstrating a commitment to academic excellence. Let's connect and explore opportunities to create impactful solutions together!

Experience

Knowdis

Data Scientist

Nov 2023 – Present · 2 yrs 4 mos · Remote

🚀 Worked on:
Product search engine for an E-commerce giant
Controlled experimentation, testing, documentation and root cause analysis
🚀 AI-Based Drug Discovery Platform (Molecule AI):
Developed robust AI model pipelines to speed up drug discovery life-cycle
Training and rigorous testing of Molecule optimization and de-novo generation models
🚀 Tools & Architectures:
Streamlit • FastAPIs • Huggingface • Pytorch • LLM • RAG • Transformers • Celery • Redis • Docker

Deep LearningArtificial Intelligence (AI)PyTorchLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Transformers+10

Molecule ai

Data Scientist

Nov 2023 – Present · 2 yrs 4 mos

Staqu technologies

Research Engineer AI

Jun 2022 – Nov 2023 · 1 yr 5 mos · Gurugram, Haryana, India · On-site

DL Research lifecycle from problem identification, literature survey, data preparation, training, testing, model manipulation, deployment & inference speed optimisation
Applied research in deep learning, to solve AI problems using segmentation, detection, classification etc.
Spearheading set-up of data science team by solely guiding multiple interns
🚀 AI applied to:
Audio • computer vision • Satellite Imagery • Monocular Depth Estimation • Optical Flow • Time Series Analysis
🚀 Model Architectures:
RNNs | LSTM | Transformers | VAEs | CNNs | GANs | meta/Transfer learning | Diffusion Models | flow based models
🚀 Tools & frameworks
Docker • PyTorch • Git (version control) • TensorRT • OpenVino • Inferentia • Pandas • Numpy • matplotlib • openCV • librosa • RasterIo

Scientific PapersComputer ScienceGenerative Adversarial Networks (GANs)Research SkillsFastAPIGit+2

Florence capital

Data Science Intern

Feb 2022 – Mar 2022 · 1 mo

Optum

Product Management Intern

Apr 2021 – Jun 2021 · 2 mos · Bangalore Urban, Karnataka, India

Making data-backed hiring plan, to best optimise the essential metrics, competitive analysis,
White paper presentation of qualitative and quantitative aspects of data

Indian institute of technology, roorkee

DAPC Representative

Nov 2020 – Jun 2021 · 7 mos

Elected for highest departmental position of responsibility
Opportunity to enhance leadership, collaboration, & management skills
Worked on Upgradation of outdated curriculum
Assuring student's interests against administrative decisions during covid-19

Shl

R&D Intern (Machine Learning)

Apr 2020 – Jun 2020 · 2 mos

Extension of an ML-based grammar grading tool for English essays
Experimentation with Random Forest Regression, Support Vector Machines (SVM)
Text data preprocessing using regex, Feature Engineering, bias correction,
Learnt NLP feature extraction techniques like TF-IDF, Bag of Words
Used models like BERT, Glove, Word2Vec embedding spaces for ML modelling
Leveraged ensemble technique to further improve the accuracy to 94%
Training autoML based Azure's Speech-to-Text Model by optimising it's language model