Software Engineer
AI-native engineer
Available for hire
Years of
experience
1+ years
Experience
level
Junior
Available
for
Full-time, Part-time, Contract, Freelance
Available from
12 Aug 2026
Full-stack software engineer with hands-on experience in Python, C++, and React, building AI/ML systems, RESTful APIs, and benchmarking optimization algorithms for resource-constrained UAV systems. Co-authored a published research paper on a two- phase UAV search framework, benchmarking five TSP solvers (Genetic Algorithm, PSO, Nearest Neighbor, Brute Force, 2-opt) and validating YOLOv8s computer vision-based survivor detection and depth-based obstacle avoidance on real drone flights. Currently building backend services for an enterprise Agentic AI/RAG platform at UBS, with growing depth in transformer-based LLM architectures, debugging, and performance optimization. B.Tech in Computer Science and Engineering from NIT Calicut.
Skills
JavaScript
CSS
TypeScript
React.js
Next.js
TensorFlow
Node.js
Express.js
Tailwind CSS
SQL
Cypress.js
Azure
GitLab
NoSQL
REST
OpenAI
Swagger
JSON
Natural Language Processing
MERN stack
MongoDB
PostgreSQL
MySQL
Firebase
SQLite
Git
GitHub
Figma
Agile
CI/CD
Machine Learning
E-commerce
Generative AI
Large Language Models
HTML
C
FastAPI
NumPy
PyTorch
C++
C#
Languages
Employment History
Software Engineer at
UBS
Current
2025
-
Now
Built backend services (Python, .NET) for an enterprise Agentic AI platform, integrating Retrieval-Augmented Generation (RAG)
with real-time market data and internal knowledge repositories to deliver explainable, context-aware financial insights.
• Delivered portfolio optimization, multi-step reasoning, and Devil's Advocate analysis features for the AI platform; collaborated
cross-functionally with QA, product, and business stakeholders within sprint timelines.
• Participated in code reviews, debugging, root cause analysis, and performance optimization across services, contributing to
reliable, production-grade software delivery.
• Full stack engineer on the Graduate Talent Program (GTP), building enterprise applications for UBS Advantage Suite using .NET
(C#), Python, TypeScript, and REST APIs across the SDLC in an Agile/Scrum environment.
• Built E2E test automation frameworks (Cypress) and an automated CI/CD release pipeline (Azure DevOps/GitLab) requiring no
manual intervention, cutting manual testing effort by 20%.
Co-Author at
NIT Calicut
2024
-
2025
Co-authored “A Novel Two-Phase Approach for UAV-Based Survivor Identification in Disaster-Hit Areas,” published at the
ICIoTCT International Conference — validated with real drone flights, not simulation.
• Benchmarked five TSP solvers (Genetic Algorithm, PSO, Nearest Neighbor, Brute Force, 2-opt) on computational complexity,
path efficiency, and reward performance for resource-constrained UAV path planning.
• Designed a two-phase UAV trajectory planning and path optimization system: spiral reconnaissance for full-area coverage, then
TSP-based waypoint clustering with A* real-time pathfinding for multi-drone task allocation.
• Trained a YOLOv8s computer vision model on the C2A disaster dataset for real-time object detection and survivor identification,
and used Depth Anything V2 for monocular depth estimation and obstacle avoidance; validated on real DJI Tello UAV flights.
Software Engineer Intern at
Paygeon
2024
-
2024
Trained and deployed a machine learning model (XGBoost, Python, TensorFlow, scikit-learn) to match loan applicants to lenders
using features including credit score, acceptance rate, income level, debt-to-income ratio, and employment history; built the full-
stack web app end-to-end (React, Tailwind CSS, JavaScript, REST APIs) to serve it in a live, user-facing product, including data
preprocessing, feature engineering, and model evaluation.
• Built a full-featured admin dashboard (React, Firebase, Tailwind CSS) with secu
Education
Bachelors in Computer Science at
National Institute of Technology,Calicut
2021
-
2025