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Work Background
Product Engineer AI/ML
jeevahealth.aiProduct Engineer AI/ML
Feb. 2025Simulation & Training Platform (JSAIL B2B): Led development of domain-specific virtual agents with real-time feedback for use in mental health, medical training, sales, and bullying scenarios. Integrated voice, lipsync, and conversational grading for immersive coaching. Bounze Wellness App: Designed goal-tracking chatbot features that extract and manage user goals via conversation. Enabled automatic SAM score updates, journal generation, and personalized motivational nudges, along with a virtual buddy for daily support. Cross-Domain AI Architecture: Proposed and prototyped a multi-KB architecture enabling flexible domain adaptation for virtual agents, including streaming capabilities and real-time context-aware retrieval.
Senior Machine Learning Engineer
jeevahealth.aiSenior Machine Learning Engineer
May. 2023 - Jan. 2025IndiaProduct Development Leadership: Spearheaded ML strategy and end-to-end architecture for 4 AI-powered mental health products deployed across web and mobile platforms, collaborating directly with the CEO and product leads. Conversational AI Platform (Jeeva App): Built and scaled an AI chatbot with persistent memory, contextual switching, and issue-to-intervention mapping. Powered by a clinically validated knowledge base covering 190+ mental health issues, the chatbot personalizes conversations and returns with continuity, adapting interventions based on cumulative user data. User Analytics & Personalization Engine: Developed a recommendation layer that analyzes user chats, posts, journals, and metadata to deliver personalized blogs, skills, and interventions, and visualizes trends in user emotions, issues, and strengths. AI Moderation and Privacy: Implemented AI-powered content moderation and PII masking to ensure community safety and privacy compliance for in-app user-generated content. Therapist Portal (BH Practice): Automated therapy session analysis, generating SOAP notes, treatment plans, and emotional summaries from transcripts. Developed feedback systems and Q&A capabilities to aid clinical decision-making.
Data Scientist
GenpactData Scientist
Jul. 2021 - May. 2023IndiaWorking on integrates OCR, automation, NLP, and ML technologies to extract and code data from source documents for multiple clients. Built the MHRA covid vaccine monitoring PVAI solution used to track vaccine adverse reactions. Nominated as part of team for the GROW2022 award for the same. Built the module for Bayer which predicts three key fields. The modelling used were classification and NER. Improved the F1 score & Accuracy of the model over time across all source types. Built encoder for different source types using AWS Textract which resulted in breadth wise score improvements for all fields. Built multi-entity ner model which extracts three primary fields using SpanBert and HuggingFace. Migration of native data preprocessing, training and deployment workflows to AWS using Sagemaker and Lambda. TechStack: Python, Tensor flow, Pytorch, Mlflow, Keras, OpenCV, Hugging Face, SQL, Docker, AWS Sagemaker, Linear model, Tree based model, LSTM, BERT (BioBERT, SpanBERT), Transformers, BitBucket, Jira, Linux.
Data Analyst
FIND, the global alliance for diagnosticsData Analyst
Jan. 2021 - Jun. 2021Building and analyzing country models for diagnostic network optimization. Provide analytics support for scenario modelling and cost-benefit analyses. Assess data, identify data gaps or limitations, clean and integrate data. Identify, analyse, and interpret trends from the data and share reports. Tools: LLamasoft’s supply chain software, MS Excel, SQL, R, Python, Tableau.
Full Stack and Machine Learning  Intern
InnoBytes TechnologiesFull Stack and Machine Learning Intern
Aug. 2020 - Oct. 2020Built a recommender system using Python and integrated it with their ongoing project "Dookan.com" using Flask and SQL. Built two applications for “Ayurvedhacharya”. One recommends medicine after a doctor-patient conversation using Spacy. The other predicts whether the skin is affected given a skin image using OpenCV and Scikit-Learn.
Data Science Intern
IHA Consulting Services Pvt. Ltd.Data Science Intern
Jun. 2020 - Oct. 2020Delhi, IndiaProject ‘Medical Image Enhancement’. Working as a team lead to execute the idea and orchestrate a pipeline to a robust model. Task: Upscale low resolution (up to 4X) MRI scan images which can save computational time and space.
Computer Vision Intern
PillarplusComputer Vision Intern
Jun. 2020 - Jul. 2020Delhi, IndiaProject: ‘Indoor Reconstruction from Architectural Floor Plans'. Task: Generate wall segmentations from architectural floor images and convert them to a node edge graph using OpenCV, Keras and TensorFlow. Worked solo and engineered 2 out of 4 pipelines on the project.
Machine Learning Researcher
Delhi Technological University (Formerly DCE)Machine Learning Researcher
May. 2020 - Jul. 2020Delhi, IndiaThe MLRL (dept. of CSE) offered an internship in the Computer Vision domain under the guidance of Dr Anil Singh Parihar. Studied and implemented the research papers of the latest GAN architectures namely SRGAN, StackGAN, cDCGAN, StyleGAN and PGGAN.
Power System Engineer Intern
Tata Power-DDLPower System Engineer Intern
Dec. 2019 - Jan. 2020New Delhi, Delhi, IndiaAssisted engineers in investigating public complaints and recommended remedial measures. Investigated over five complaints daily. Learnt the applications of ‘Network Planning’ and ’Distributed Power Generation’ using SCADA.
Electrical Engineering Intern
Bharat Electronics LimitedElectrical Engineering Intern
Jun. 2019 - Jul. 2019Uttaranchal, IndiaLearnt about ‘Power Distribution System’ and worked on various L&T panels, regulation of ‘Diesel Generators'. Assisted in assembling circuitry. Compiled data and wrote reports regarding existing electrical components. Assigned as a mentor to upcoming students and documented “SMD Manufacturing Process & Consistency of Power Supply"

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