Pavan Kumar Nekkanti

Founder

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Led innovative AI projects in healthcare and finance.
Trained over 1000 students in Python and Machine Learning.
Founder of a successful startup focused on tech education.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Fintech and Healthcare sectors.

Contact

pavannekkanti1234@gmail.com LinkedIn

Skills

Core Skills

Innovation DevelopmentStartup DevelopmentTrainingEvent PlanningMachine LearningData EngineeringDeep Learning

Other Skills

AWS EC2Amazon Web Services (AWS)Analytical SkillsArtificial Neural NetworksBasic MathBiomedical Signal ProcessingBuilding ModelsC (Programming Language)CI/CDCanvaCascading Style Sheets (CSS)ChatGPTCloud InfrastructuresCode ReviewCoding Standards

About

Hey, I’m Pavan Kumar Nekkanti—a machine learning engineer, Python enthusiast, startup founder, and die-hard believer in the power of logic + creativity. With a background in Computer Science from RGUKT Nuzvid and hands-on experience at places like FlivoAI and NIT Warangal, I've led projects ranging from brain tumor segmentation in medical images to emotion detection from facial expressions and EEG signals. If there's a real problem, I love building something to solve it—big or small, complex or “just for fun.” I thrive on connecting with passionate learners, tackling hands-on tech challenges, and sharing every step (including the failures!) right here on LinkedIn. I mentor, lead innovation at Tech Innovation Hub, and write about what I learn—whether it's unpacking vacuous truth in logic, breaking down streamlit dashboards, or helping Python beginners break through confusion. What do I like to talk about? The future of AI, startup stories, practical ML, education hacks, data science fun, and helping others realize their tech dreams. If you’re into honest stories, open feedback, and growing together—I’m all ears!

Experience

Nyx

Artificial Intelligence Engineer

Sep 2025 – Present · 6 mos · Bengaluru, Karnataka, India · Hybrid

Flivoai

Machine Learning Engineer

Oct 2024 – Aug 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

Developed a Prompt-to-SQL LLM Assistant using Langchain, Groq API, and LLaMA 3, automating 80% of HR/Finance data queries.
Integrated natural-language query support into Streamlit dashboards for 500+ employee records to enable real-time data access.
Deployed scalable backend pipelines on AWS EC2 & Paperspace, optimized with secure API integration and CI/CD workflows.
Improved query response time by 30% and SQL translation accuracy by 20%, ensuring full data-validation and compliance.
Collaborated with cross-functional HR and Finance teams to transform manual reporting into AI-driven automated insights.

Naghavi financial services private limited

AI ML Intern

Aug 2024 – Oct 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

Designing and deploying LLM-powered financial automation tools to streamline internal workflows and reduce manual processes.
Building secure and scalable backend services using Python, FastAPI, and cloud infrastructures to support high-volume data operations.
Developing intelligent query systems that transform natural language queries into structured insights for business teams.
Working closely with product and engineering teams to integrate AI capabilities into fintech applications with reliability and compliance.
Optimizing data pipelines, improving processing speed, and ensuring precision in risk, reporting, and analytics models.

Machine LearningDeep LearningArtificial Neural NetworksData Science

National institute of technology warangal

Deep Learning Internship

May 2024 – Jul 2024 · 2 mos · Warangal, Telangana, India · On-site

Emotion Recognition Using EEG and Facial Expressions
In this project, I developed an emotion recognition system aimed at enhancing human-computer interaction (HCI) by enabling computers to understand and respond to human emotions. Leveraging the DEAP dataset, which includes EEG signals and facial expressions recorded from subjects watching music videos, I trained advanced deep learning models using NASNetMobile to recognize emotions across valence, arousal, and dominance dimensions. This capability has potential applications in virtual reality, gaming, mental health monitoring, and customer service.

Medical ResearchOperations ResearchDeep LearningMachine LearningBiomedical Signal ProcessingTutoring+11

Tech innovation hub

Student Lead

Mar 2024 – Present · 2 yrs · RGUKT,Nuzvid · Remote

TIH- Tech Innovation Hub a startup incubator presented by Department of CSE, RGUKT NUZVID
Our mission at TIH Startup Incubator is to cultivate a vibrant ecosystem of innovation, entrepreneurship, and collaboration within the college community. We are dedicated to empowering and supporting the next generation of visionary leaders, creators, and problem-solvers.
#TechInnovationHub #StartupIncubator
#Entrepreneurship #Innovation #Ideas #Technology

Innovation DevelopmentStartup DevelopmentTechnical AnalysisTeamworkTeam Leadership

Code kivy

Founder & CEO

Apr 2023 – Present · 2 yrs 11 mos · Bengaluru, Karnataka, India · Remote

Trained 1000+ students across 6 batches from 30+ colleges, achieving 100% positive student feedback.
Designed practical, project-based curriculum and mentored students through capstone projects that improved job-readiness.
Conducted free offline workshops reaching 5000+ students for Python and Machine Learning.
Grew community and brand presence (LinkedIn followers 1.6K+).
Led student placement support and internship pipelines; collaborated with local colleges and industry partners.

TrainingTime ManagementEvent Planning