Headline

SDE 1 @ Avishkar AI || React · Next.js · Python · GATE CS&IT 2025 Qualified

About

Full Stack Engineer at Adeptmind, building customer-facing web experiences for retail search products used at scale. I work across the full stack — React/Next.js/TypeScript on the frontend, Python for backend services, Docker for containerized dev environments — with a focus on reusable architecture and components built to last. Before this, I predicted avalanche risk zones at DRDO's DGRE division using Random Forest on geospatial datasets, built a secure backend handling 3,000+ applications at SMVDU, and shipped a cross-platform payment security tool (BiFrost) with 85% malicious link detection accuracy. I've also done SOC work, penetration testing, and led NULL — the cybersecurity club at SMVDU. Selected for Microsoft Startup Founder's Hub. GATE CS&IT 2025 qualified. I'm comfortable owning features end-to-end and have shipped in production environments across internships spanning DRDO, IIITDM Kanchipuram, NIELIT, and NEHU. Open to full-time roles in full-stack development, data engineering, or DevSecOps starting mid-2026. 🔧 Stack: React · Next.js · TypeScript · Python · FastAPI · PostgreSQL · Docker · AWS · Node.js 🏆 GATE 2025 · Microsoft Startup Founder's Hub · Top 20% Hack The Code · Binary Clash 360 Finalist · 3rd Prize BARC Science Quiz

Location

Noida

AI stack

antigravity

opencode

claudecode

Work experience

Software Development Engineer 1 at Avishkar AI, Jul 2026 - Present · 2 mos, India, Django Development

Full Stack Engineer at Adeptmind, Apr 2026 - Jun 2026 · 3 mos, MALL TEAM -------------------- · Building customer-facing Mall web experiences with React, Next.js, and TypeScript, focusing on reusable page templates, smooth UX, and reliable integrations. I work end-to-end across UI, API integration (Python), and Docker-based environments to keep development and releases predictable. · Shipped a scalable FAQ page experience using React + Next.js + Tailwind, making it easier to launch and maintain structured Q&A content · Implemented Maps integration for Mall pages, wiring up interactive, location-aware UI with clean, type-safe frontend logic in TypeScript · Built a reusable Blog page template for content-heavy experiences, enabling faster rollout of editorial/announcement-style pages · Designed configurable components instead of one-off views, so FAQ/Maps/Blog can be extended without major rewrites · Integrated frontend behavior with backend/service APIs in Python, focusing on stable contracts and robust error/edge-case handling · Maintained a Docker-based development workflow to reduce environment drift and support repeatable builds and testing

Full Stack Engineer at Adeptmind, Aug 2025 - Mar 2026 · 8 mos, DASHBOARD TEAM ------------------------------- · Developed and enhanced a client-facing dashboard for managing search experiences and dynamic landing pages, leveraging React, Next.js, and TypeScript for robust frontend solutions, complemented by Python for backend logic. Focused on creating intuitive, safe, and reliable operational workflows for non-technical users. · Built responsive UIs with React and Tailwind CSS, implementing diff-style change views and advanced log filtering. · Improved dashboard usability using TypeScript for type-safe code, incorporating persistent sorting and intuitive bulk action confirmations. · Enhanced dynamic landing page workflows with features like segmented configuration previews, supported by Next.js for efficient rendering. · Engineered backend solutions with Python to manage data, handle complex catalog realities, and ensure robust API integrations. · Integrated Docker for containerized development and deployment workflows, contributing to reliable production support. · Streamlined error handling with clear, actionable user feedback for uploads and configuration issues, reducing support overhead.

Trainee at Defence Research and Development Organisation (DRDO), May 2025 - Jul 2025 · 3 mos, Chandigarh, India, Developed a machine learning framework for avalanche detection and forecasting at DRDO's DGRE division — working on one of the most data-scarce, high-stakes prediction problems in defence geoscience. · Tackled extreme class imbalance in real-world avalanche datasets (avalanche days are rare events) using SMOTE augmentation, cost-sensitive learning, and balanced sampling strategies · Built and benchmarked 6+ ensemble classifiers — Random Forest variants, XGBoost, AdaBoost, and LightGBM — with a comprehensive 5-fold nested cross-validation pipeline and custom safety-centric evaluation metrics · Extended prediction scope beyond binary detection to multiclass avalanche type classification and frequency/intensity forecasting · Engineered feature importance analysis and operational visualizations to support field decision-making and model interpretability for non-ML stakeholders · Delivered batch-processed, reproducible outputs and dynamic plots suitable for direct use in hazard mitigation workflows Stack: Python · Scikit-learn · XGBoost · LightGBM · SMOTE · Random Forest · Geospatial Data Analysis

Full Stack Developer at Shri Mata Vaishno Devi University, Katra, Apr 2025 - Jun 2025 · 3 mos, Remote, Architected a secure Node.js backend for the university's admissions/project management system, handling 3,000+ applications. Applied security-first design principles across authentication, data handling, and API layer to eliminate breach risks. Part of the CampusCurator platform initiative. · Stack: Node.js, MongoDB, JWT authentication, custom middleware · Scale: 3,000+ user records, dynamic group formation, mentor allocation logic

SOC Intern at ISEA Stay Safe Online, Mar 2025 - Apr 2025 · 2 mos, Remote, Collaborated with security teams to document incident response procedures and analyze network threat patterns. Used Wireshark and Suricata for traffic inspection and anomaly identification. Contributed to threat intelligence documentation as part of MeitY's ISEA initiative.

Education

Bachelor of Technology, Computational Science, Shri Mata Vaishno Devi University

Indian School Certificate Examination - CISCE, 11-12, City Montessori School