Atharva Kumbhar

Software Engineer

Pune, Maharashtra, India2 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Deep Learning and Natural Language Processing.
Proven track record in developing scalable healthcare solutions.
Strong interdisciplinary collaboration skills.

Stackforce AI infers this person is a skilled Software Engineer specializing in Healthcare technology and AI-driven solutions.

Contact

Skills

Core Skills

Solution ArchitectureDeep LearningNatural Language Processing (nlp)Machine Learning

Other Skills

NestJSAWS SQSAWS LambdaRedisGenerative AIOpenAI LLMsTwilioETL pipelinesGoogle OBTFull-stack developmentLangChainBackend APIsComputational LinguisticsAutomated systemsTransformers

About

I am a computer science student with a profound interest in Deep Learning and Operating Systems. I like to work in interdisciplinary teams to develop solutions from the ground up. I play chess, and like to read about semiconductors in my free time.

Experience

2 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

2 yrs 3 mos

Current Experience

Fold health

Software Engineer

Feb 2024 – Present · 2 yrs 3 mos · Pune, Maharashtra, India · On-site

Architected end-to-end design and implementation of OCR and Document Processing Pipeline, capable of parsing 10K Diagnostic Reports in under 30 minutes.
Developed the OCR pipeline using AWS SQS, Lambda, Step Machines and Redis Locks to ensure scalability.
As a part of the Generative AI team at Fold Health, I worked on various AI use-cases
Developed the Transition-of-Care Voice Assistant Agent leveraging LangChain's Tool Calling, NestJS WebSockets, OpenAI LLMs, and Twilio voice integration to enable real-time communication.
Engineered ETL pipelines to ingest patient data from diverse sources (claims, vitals, medical and diagnosis history) into Google’s OBT (OLAP database) for analytics and downstream AI workflows.
Demonstrated full-stack ownership in implementing the Worklist feature, building an interactive UI for patient listing with filtering, search, and sort, along with robust backend APIs for data handling.

Solution ArchitectureNestJSAWS SQSAWS LambdaRedisGenerative AI+6

indian council of medical research (icmr)

Text Analytics Consultant

Feb 2023 – Apr 2023 · 2 mos · Pune, Maharashtra, India · Remote

Performed a comprehensive analysis of COVID-19 vaccine-related tweets using various techniques such as sentiment analysis, emotion detection and demographic-based visualizations.
Fine-tuned state-of-the-art sentiment analysis model on the dataset collected to improve accuracy.

Sentiment analysisEmotion detectionData visualizationNatural Language Processing (NLP)

Indian institute of technology, roorkee

Research Intern

Oct 2022 – Dec 2023 · 1 yr 2 mos · Remote

Worked under Dr Partha Roy at PARIMAL lab, on mental workload classification of EEG data.
Implemented Domain Adaptation techniques, for enhancing cross-task and cross-subject performance
Contributed to data preparation and feature engineering pipeline for developing an in-house dataset.
Work accepted and presented at ICPR 2024

Domain AdaptationData preparationFeature engineeringMachine Learning

Pune institute of computer technology

Undergraduate Research Assistant

Aug 2022 – May 2024 · 1 yr 9 mos · Pune, Maharashtra, India

Worked at the Computational Linguistics Lab of PICT, under the guidance of Prof Sheetal Sonawane
Worked on developing automated systems that reduce the complexity of English articles, and news for non-native speakers.
Developed a novel architecture by modelling the information flow of transformers for complex word identification, achieving state-of-the-art results
Wrote a comprehensive survey on Multimodal Summarization
Devised a new strategy to store embeddings in the Hypergraph semantic structure for better RAG.

Computational LinguisticsAutomated systemsTransformersMultimodal SummarizationHypergraph semantic structureNatural Language Processing (NLP)

Absolutelabs.

SDE Intern

Aug 2022 – Jan 2023 · 5 mos · London, England, United Kingdom

Part of the design and development team of the microservice architecture that facilitated easier integration and management of retail and e-commerce data for clients
Set up a complete pipeline for Products and Pricing data right from Confluent Kafka streams to New Store's(client) interfaces.
Wrote unit test cases and standardized the components for compatibility with both Products and Price data types

Microservice architectureConfluent KafkaUnit testingSolution Architecture