Nisarga H R
@nisargahr
ECE graduate and AI engineer-in-training delivering end-to-end Python/LLM systems and AWS-ready data pipelines.
IndiaWhat I'm looking for
I’m an ECE graduate with a focused foundation in AI/ML and Python, built through a 5-month ML internship at Rooman Technologies and 352 hours of AWS cloud training.
I delivered end-to-end Python projects and an AI-powered customer support automation system that showcases practical LLM workflow design, including query classification, confidence scoring, and grounded responses.
In my SmartSupport AI prototype, I implemented a RAG pipeline using Pinecone and LangChain to produce hallucination-free answers from a product knowledge base, achieving a 65% auto-resolution rate and reducing average response time to 1.2 seconds.
I’m also hands-on beyond NLP—building an image-processing self-driving car prototype for lane/path detection and obstacle avoidance, and reinforcing fundamentals through projects like a console banking system and credit card validator.
Experience
Work history, roles, and key accomplishments
AI / ML Engineer Intern
Rooman Technologies
Sep 2024 - Feb 2025 (5 months)
Executed end-to-end ML workflows (data collection, cleaning, feature engineering, training, and evaluation) using Python to improve predictive performance. Used cross-validation and hyperparameter tuning with supervised and unsupervised learning on real-world datasets.
Cloud Computing Trainee
Anudip Foundation
Nov 2024 - Jan 2025 (2 months)
Completed 352 hours of AWS training by deploying EC2 Auto Scaling groups, S3 buckets, and CloudWatch monitoring. Configured IAM roles, VPC security groups, and RDS instances following AWS Well-Architected practices and earned the AWS Certified Cloud Practitioner certification.
Education
Degrees, certifications, and relevant coursework
Rajeev Institute of Technology, Hassan
Bachelor of Engineering, Electronics & Communication Engineering
2021 - 2025
Grade: CGPA: 8.7/10
Pursued a B.E. in Electronics & Communication Engineering (ECE) at Rajeev Institute of Technology, Hassan, achieving a CGPA of 8.7/10.
Master's PU College, Hassan
Pre-University (PU), Pre-University Studies
2018 - 2020
Grade: 89.5%
Completed pre-university (PU) studies at Master's PU College, Hassan, securing 89.5%.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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