Text Analytics | DocAI |GenAI | NLP | Ray Serve | Explainable AI | Tensorflow | Pytorch | Python | Flask | FastAPI | SQL | Docker | Prompt Engineering
3 Years of Experience
Bengaluru, Karnataka, India
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As a Product Engineer at Edgeverve, I design, develop, and deploy scalable and reliable web services using AWS, Python, and other technologiesl like Flask, FastAPI ,Machine learnng and Deep learning etc. I have over 2+ years of experience in software engineering, having previously worked as a Embedded Engineer at Honeywell, where I contributed to various projects in the domains of Aerospace, and Data Warehouse Management. I hold a BTech degree in Computer Science and Engineering from Jawaharlal Nehru Technology University [MTIET]. I am passionate about solving complex problems, creating innovative solutions, and delivering value to customers and stakeholders. I constantly seek to learn new skills, improve my competencies, and collaborate with diverse teams.
EdgeVerve, SaaS/Cloud Product, Information Technology & Services
Honeywell
EdgeVerve, Honeywell
Job Title : Product Engineer
Company name : EdgeVerve
Period : March 2022 - Present
Summary : ● As a Product Engineer at EdgeVerve Systems, I spearheaded the integration of Spacy 3.0 NER into our edge platforms, addressing the specific needs of multiple clients with NER use cases and delivered the models with 95% accuracy.
● Worked closely with the engineering and business team using scrum/agile methodology
● Tasked with enhancing AI capabilities, I took the lead in training OpenAI models using prompt engineering and meticulously fine-tuned Q&A models. By using synthetic data generated using prompt engineering on Open AI.
● In Addition to enhancing AI capabilities, I conducted some research and Proof of Concepts (POCs) on Explainable AI, leveraging the LIME package in Python, to help clients understand the rationale behind AI predictions, particularly in Intent classification.
● I applied this research to our solutions, making AI predictions transparent and interpretable for our clients, thereby improving trust and usability.
● This initiative not only resulted in improved model acceptance by 15% but also fostered greater client confidence in our AI-driven solutions, solidifying our reputation for cutting-edge, explainable AI integration.
Location : Banglore
Job Title : Embedded Software Engineer
Company name : Honeywell
Period : September 2021 - March 2022
Summary : ● As an Embedded Engineer, I successfully created Proof of Concepts (POCs) for hand gestured-based navigation using OpenCV technology, enhancing the interaction capabilities of cockpit systems in aircraft.
● Tasked with advancing application development, I played a pivotal role in designing and implementing electronic checklists, a critical component in automated cockpit systems.
● My contributions included developing high-level, user-friendly electronic checklist interfaces that streamlined aircraft operations and improved pilot efficiency.
● These achievements led to significant advancements in cockpit automation, contributing to the overall safety and efficiency of aircraft operations.
Location : Hyderabad, Telangana, India
Title : Machine learning
Period : August 2020 - Present
Issuing Authority : Coursera
Title : Problem Solving and Programming in Python Phase -I
Period : September 2019 - Present
Issuing Authority : Model Career Centre - APSSDC
Title : Problem Solving and Programming in Python Phase-II
Period : September 2019 - Present
Issuing Authority : Model Career Centre - APSSDC
Title : Introduction to Programming Using Python
Period : June 2019 - Present
Issuing Authority : Coursera
Title : Python DataStructures
Period : May 2019 - Present
Issuing Authority : Coursera
English (Full Professional), Hindi (Limited Working), Telugu (Native Or Bilingual)
Award : ANTHARIKSHA AWARD for presentation on Artificial Intelligence
Issuer : ANTHARIKSHA Event from Kuppam Engineering College
Date : 3 2020
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