CS + IoT + Cybersecurity engineer who ships production AI systems — not just Jupyter notebooks. I build with RAG, LangChain, FAISS & LLM stacks, backed by real internship impact at BagnDash (US) and Koyya Enterprises. Research published at ICAAAI-2025.
Available within 15 days · Hyderabad · Bengaluru · Remote
Full-Stack Developer & AI Solutions Engineer
CS + IoT + Cybersecurity engineer who ships production AI systems — not just Jupyter
notebooks.
I've built and deployed real backends: a real-time audio topic detection pipeline at BagnDash
(US) using FastAPI + MongoDB achieving 75% accuracy and 15% latency
reduction, and enterprise-grade RESTful APIs at Koyya Enterprises using Node.js
+ Firebase with a 30% improvement in data retrieval speed.
My research on an Agentic AI Intrusion Detection System was accepted and published at
ICAAAI-2025. On the AI side, I build with RAG pipelines, LangChain, FAISS, LLM integration
(Gemini, OpenAI), and prompt engineering — applied to real products. On the full-stack side: React.js,
Next.js, Node.js, FastAPI, MongoDB, SQL, CI/CD, and AWS fundamentals.
What sets me apart: 2× hackathon winner (150+ and 100+ team pools), SIH Finalist 2024, 8.65
CGPA, 2,000+ LinkedIn followers, and a CodeChef rating of 1372. Open to SDE, Full-Stack, or AI/ML roles
— ideally in product companies where I can own features end-to-end.
📍 Available within 15 days | Hyderabad ·
Bengaluru · Remote | Open to work
My academic qualifications and background.
Sasi Institute of Technology & Engineering,Tadepalligudem
Focused curriculum in IoT, Cybersecurity, and Blockchain Technology. CGPA: 8.65
Sasi Junior College,Tanuku
Concentration in Mathematics, Physics, and Chemistry. Percentage: 94.5%
Sasi English Meduim High School,Tanuku
Andhra Pradesh Board of Secondary Education Percentage: 100%
My professional journey and hands-on experience in the tech industry.
🔸 Boosted data retrieval speed by 30% by redesigning MongoDB NoSQL schemas and optimising
query patterns for enterprise application APIs serving real-time data at scale.
🔸 Reduced API integration time by building and maintaining 5+ RESTful endpoints in Node.js
with clean, well-documented code, enabling faster feature delivery in Agile/Scrum sprints.
🔸 Improved deployment reliability by setting up CI/CD pipeline configurations and participating in
production deployments, reducing manual release errors.
🔸 Accelerated real-time data sync by integrating Firebase Firestore services, cutting data latency for live
application features.
🔸 Achieved 75% audio topic classification accuracy by developing a Python FastAPI backend
with MongoDB integration and custom AI model pipelines for real-time audio processing.
🔸 Reduced inference latency by 15% by optimising backend architecture and troubleshooting
bottlenecks in the REST API layer serving an Agile team of 5.
🔸 Increased product reliability by integrating AI models into production pipelines and participating in
automated testing and production support activities.
🔸 Delivered adaptive AI capabilities by applying emerging ML techniques to evolving product requirements,
staying ahead of industry trends.
2025
Event: AI Autonomous Hackathon Organized by Siddhartha Engineering College
Venue: Siddhartha Engineering College,Vijayawada,AP
Theme: Real-World AI Challenges
Participants: 150+ Teams
Award: Second Prize
🔸Achieved 2nd place in a highly competitive AI Hackathon, standing out among 150+ teams.
🔸Developed
and
presented an innovative AI solution addressing real-world challenges.
🔸Demonstrated excellence in
technical
implementation, teamwork, and problem-solving under pressure.
🔸This accomplishment reflects a strong
foundation in AI development and a commitment to continuous innovation.
2025
Event: 36-Hour Hackathon Organized by AITR ACM & ACM Women’s Chapter
Venue: Acropolis Institute of Technology & Research, Indore,MP
Theme: AI-Powered Solutions
Participants: 100+ Teams
Award: 4th Prize & Token of Appreciation under Women Empowerment
🔸Secured 4th place in a competitive 36-hour Hackathon focused on civic innovation. Our team built an
AI-driven system that intelligently analyzes public complaints and routes them to the appropriate
departments for faster resolution.
🔸The project emphasized real-world impact, technical precision, and
collaborative problem-solving.
🔸This achievement highlights our commitment to using AI for public good
and
streamlining service delivery.
2025
Event: AI Innovation Hackathon Organized by Foreign Alumni Network
Venue: National Institute of Technology, Andhra Pradesh (NITAP)
Theme: AI-Powered Solutions
Participants: 100+ Teams
🔸Engaged in a high-intensity 24-hour Hackathon hosted by the Foreign Alumni Network at NITAP.
🔸Teams
were
challenged with real-world problem statements focused on social impact, requiring rapid ideation and
execution.
🔸Collaborated with peers to design and prototype an AI-powered solution under tight
deadlines.
🔸The experience sharpened skills in problem-solving, technical implementation, and teamwork.
🔸This
participation reflects a proactive mindset and a dedication to applying AI for meaningful change.
2024-25
🔸Led web development initiatives as Web Master, overseeing technical architecture, content strategy, and
digital operations for the SITE ACM Student Chapter.
🔸Demonstrated leadership in full-stack
development and
community engagement.
2024
🔸Selected as a finalist in the prestigious Smart India Hackathon 2024, a nationwide innovation challenge
aimed at solving real-world problems through technology.
🔸Contributed to the development of
cutting-edge
solutions, demonstrating creativity, technical expertise, and collaborative spirit on a national stage.
2023-26
🔸Actively engaged in community service and social development through National Service Scheme (NSS)
initiatives.
🔸Contributed to awareness campaigns, environmental efforts, and youth empowerment
programs,
fostering civic responsibility and leadership.
A selection of projects where I've applied my skills to create real-world solutions.
💨 Game-theoretic hybrid SVM + Autoencoder framework that detects known attacks via SVM
and unknown anomalies via Autoencoder, with an adaptive agent that responds in real time.
💨 Demonstrated on SQL injection and brute-force scenarios. Achieved ~72% F1-Score on
unknown attack detection in a Flask real-time proxy environment.
💨 Research accepted and published at ICAAAI-2025.
💨Designed and built a full-stack platform leveraging Python, Next.js, FastAPI, and Firebase to analyze 800+ citizen complaints from disparate sources. 💨Applied NLP and clustering techniques, achieving approximately 80% accuracy in key local issue identification. 💨Streamlined data acquisition by integrating 5+ APIs, cutting data collection time by 35%, and successfully scaled the system to manage 1,000+ monthly complaints.
💨 End-to-end RAG pipeline using LangChain + FAISS + Gemini/OpenAI to deliver
personalised career guidance.
💨 Includes document ingestion, vector search, and streaming chat interface.
💨 Improved response relevance by ~60% via semantic retrieval; FAISS cuts query response time by ~30%.
💨 Designed dynamic features like personalised career roadmaps, boosting user engagement and usability.
💨Developed an end-to-end automated workshop Workflow with n8n, impriving efficiency,reducing manual effort and ensuring timely certificate delivery.
💨An intelligent chatbot leveraging RAG and Langchain for creating pipeline to
provide accurate medical information and assistance.
1.PDF/txt/Excel(Load Source data)
Load -> Transform -> Embedding -> Chunk's -> Vector's -> Vector store -> LLM -> Query
2. Query vector Base
3. Retrieve most Similar
💨A fully responsive personal portfolio built from scratch to showcase my skills, projects, and certifications.
💨A comprehensive guide that explores Python projects leveraging AI, ranging from beginner to advanced levels, to enhance programming skills through practical applications.
💨Designed and implemented an algorithm that can solve a standard 3x3 Rubik’s
Cube
from any scrambled state.
Controlled using SpeechRecognition and gestures
A showcase of my commitment to continuous learning and skill development.
Completed Google's AI Fundamentals course on Coursera — covering core ML concepts, neural networks, responsible AI practices, and practical AI tools. Verified Credly badge.
Completed Google's Introduction to Artificial Intelligence course, building foundational knowledge in AI concepts, machine learning, and real-world AI applications.
GUVI
Completed a hands-on program focused on Python programming and the practical application of Generative AI models.
Coursera
Mastered component-based architecture, state management, and hooks to build modern, dynamic user interfaces.
Coursera
Gained proficiency in version control, branching strategies, and collaborative workflows using Git and GitHub.
MongoDB
Acquired skills in NoSQL database design, CRUD operations, and data aggregation within the MongoDB ecosystem.
Let's build something great together. Reach out to me through any of the methods below, or fill out the form and I'll get back to you promptly.
vardhineedinandini@gmail.com
+91 9014926311
Andhra Pradesh, India (Remote Available)