Harshvardhan Pande

Software Engineer

Pune, Maharashtra, India2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 95%+ accuracy in deep learning models.
Developed high-accuracy heart disease prediction web app.
Spearheaded data preparation for model optimization.

Stackforce AI infers this person is a Healthcare-focused AI Engineer with expertise in predictive modeling and backend development.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Deep LearningBack-end Web DevelopmentData ScienceMachine Learning

Other Skills

Data EngineeringRetrieval-Augmented Generation (RAG)vectorizationfine-tuningAWSdata preparationMAPE analysisunsupervised learningNode.jsNestJstypeORMPostgreSQLGraphQLunit testingRESTful APIs

About

🤖Dynamic AI Engineer with a B. Tech in Artificial Intelligence and hands-on experience in data science, machine learning, GenAI - RAG with fine tuning LLMs and deep learning. Proven track record in developing high-accuracy predictive models and enhancing data-driven decision-making. 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬: Languages: Python, C++, MATLAB, JavaScript, SQL, DSA Frameworks: TensorFlow, Keras, PyTorch, Django, GenAI, PySpark, RAG Tools: Power BI, Tableau, Heroku, Docker, Streamlet, langchain, langgraph Specialities: Data Science, Machine Learning, Deep Learning, Data Analytics, Computer Vision, MLOps 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 𝑨𝑰 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓 𝒂𝒕 𝑰𝒏𝒅𝒆𝒙𝒏𝒊𝒏𝒆 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔: Achieved 95%+ accuracy in deep learning models for object quality detection. Spearheaded data preparation processes, optimizing model inputs for pinpoint accuracy. 𝑺𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓 𝑻𝒓𝒂𝒊𝒏𝒆𝒆 𝒂𝒕 𝑰𝒏𝒅𝒆𝒙𝒏𝒊𝒏𝒆 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔: Enhanced backend performance, crafted RESTful APIs, and achieved a 30% improvement in application stability. 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔: Developed a high-accuracy heart disease prediction web app using Django and ML algorithms. Created a disease prediction model during a virtual mentorship with _VOIS.

Experience

2 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Turinton consulting

AI Software Engineer

Dec 2024 – Oct 2025 · 10 mos · Pune, Maharashtra, India · On-site

Artificial Intelligence (AI)Data Engineering

Indexnine technologies

2 roles

AI Engineer

May 2023 – Dec 2024 · 1 yr 7 mos · Pune, Maharashtra, India · On-site

➔ Explored Retrieval-Augmented Generation (RAG), vectorization, and fine-tuning for custom Large Language Models (LLMs) to enhance AI capabilities, utilizing AWS services for efficient model deployment
➔ Conducted multiple Proofs of Concept (POCs) using client data, proposing solutions that reduced processing time by 4%, decreased workforce requirements by 10%, and significantly increased operational speed
➔ Developed a Minimum Viable Product (MVP) demonstrating the effectiveness of the AI system, leveraging AWS for scalable and secure deployment
➔ Achieved exceptional 95%+ accuracy through the creation and training of deep learning models, revolutionizing object quality detection for diverse weight categories.
➔ Spearheaded meticulous data preparation, optimizing model inputs and ensuring pinpoint prediction accuracy.
➔ Executed comprehensive MAPE analysis, confirming model precision with a consistently low ~5% error rate.
➔ Implemented unsupervised learning techniques for tuning model performance.working with end to end development of product solutions.

Retrieval-Augmented Generation (RAG)vectorizationfine-tuningAWSdeep learningdata preparation+4

Software Engineer Trainee

Jan 2023 – Jun 2023 · 5 mos · Pune, Maharashtra, India · On-site

➔ Partnered with senior developers to create and maintain Node.js, NestJs, typeORM,
PostgreSQL, and GraphQL applications.
➔ Employed Jest for unit testing and performed rigorous stress/load tests to identify
and resolve performance bottlenecks, culminating in a remarkable 30%
enhancement in the overall stability and swiftness of the application.
➔ Revamped and deployed top-performing backend CMS components/plugins in
Nest.js, leading to a remarkable 25% surge in application performance.
➔ Crafted and executed RESTful APIs, driving a remarkable 20% surge in the
application’s functionality and user-friendliness.
➔ development efficiency by maintaining and optimizing reusable code libraries,
resulting in a remarkable 15% increase in productivity and a significant 20%
reduction in code duplication.

Node.jsNestJstypeORMPostgreSQLGraphQLunit testing+2

_vois

Virtual Mentorship Program

Jun 2022 – Aug 2022 · 2 mos · Remote

➔ From Marwadi University, Gujarat, has successfully completed
Virtual Micro-Internship under _VOIS for Tech University Engagement Program’s Innovation Marathon 2022 to develop a project on “Disease prediction model ”

CommunicationPython (Programming Language)

Profcess

Python Developer Trainee

Apr 2021 – Jul 2021 · 3 mos · Bhopal, Madhya Pradesh, India

➔ Built a Heart Disease Prediction Web App using Django and Bootstrap, integrating 5 ML algorithms, and attained an impressive 95% accuracy in heart disease prediction by fine-tuning algorithms.
➔ Collaborated effectively for seamless web-app deployment, elevating user experience, and documented the process comprehensively.

Predictive AnalyticsPython (Programming Language)Data Science