Aug 2023 – Jul 2024 · 11 mos · Gurugram, Haryana, India · Hybrid

• AI/ML Development
• ASR,
• playing with audio data
• knowledge base
• LLM/GenAI
• Chat with structured and unstructured data with GenAi and langchain
• RestAPI and deployment
• Azure Cloud
• Generative AI Application
• RAG, Finetune, Agents
• FinTech, Structured, unstructured
• Chatbot
• GPT4, Llama, Redis, Postgrey, FAST API, React, Langchain , safechain, GCP

Feb 2023 – Aug 2023 · 6 mos · Noida, Uttar Pradesh, India · Hybrid

• Data science, machine learning, MLOps
• Cross sell, upsell and churn of BFSI products
• GPT research, build the search engine plateform, where the Gen ai interact with the personalised doc.
• BERT and TRANSFORMER model on News Data

Jun 2021 – Jan 2023 · 1 yr 7 mos · India · Remote

• Worked with R&D Team of PharmCADD
• Preprocessed & Built the multi-classification machine learning models on physicochemical dynamical simulated data & compared the accuracy and AUC scores. This model has been used in the complex/Experimental processes of drug discovery.
• Preprocessing & Building the machine learning Regression model to predict the target values from the nano physicochemical dataset.
• Protein structure folding prediction/Drug Development through AI
• RNA secondary structure prediction through Deep learning

Jul 2020 – Jun 2021 · 11 mos · Hyderabad, Telangana, India · Remote

• predicting various diseases from wearable devices
• Biological Signal(PPG) ,Medical Image processing and Modelling
• Single model architecture with PPG features and extracted various healthcare parameters using AI
• Quantum machine learning to improve the accuracy and training time on Biosignals data
• Neural network model optimization with Medical image data
• Clinical data collection(PPG) and collaboration with Hospitals and extracted various healthcare features through AI
• Analog and Mixed signal(AMS) layout automation using ML/DNN & ALIGN ,MAGICAL & ALOE tool(5nm tcmc Technology)

Aug 2019 – Jun 2020 · 10 mos · Hyderabad Area, India · On-site

• Data acquisition and experimental setup(Mayoware, Biometric DataLOG,g.Tec for EMG and EEG)
• Biological data(signal) processing and Neuroimaging(EMG,EEG,MEG,fMRI,NIRS).
• Artifacts removal/rejection and feature extraction from EEG and EMG data.
• Applied different machine learning algorithms(PCA, ICA for artifact rejections) and trained our data and to find accuracy and correlation.
• Identifyied the intermuscular and corticomuscular coherence
• Detection of different neurodegenerative disorders through machine learning and deep learning algorithms.
• Inverse kinematics based model to entrain the optimal movements of brain stroke patients during the bimanual rehabilitation using Machine Learning & Statistical analysis with student t-test on different group on same population.
• Brain-Computer Interface.
• Prosthetic Robotics

Jun 2019 – Jul 2019 · 1 mo · Hyderabad Area, India

• Risk management and test cases in IoT Based wearable devices(Nemocare Raksha) .
• Electrical safety and Compliance Testing of Medical Wearable devices.
• Electrical safety testing and performance testing of Biomedical wearable devices.
• Battery testing (internal resistance testing on maximum load, discharging performances
• IEC(60601-1&2)/ISO Documentations.

Jun 2016 – Jul 2016 · 1 mo · phulpur,allahabad,up

• Worked on a distributed control system(DCS),
• Field instrumentation and control through centum-VP,
• Gas and liquid analysis
• the central processing unit(CPU),
• During the training as an engineer, I have seen there were more complexities in the industry that can be reduced by the automation.
• I have also seen the installation, maintenance, and calibration of instruments.