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Software Engineer with less than a year in AI/ML, Backend, and Full Stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with 1+ year of experience building production-scale backend systems and Al-powered applications using Python, FastAPI, Django, PostgreSQL, React, and LLM technologies. Experienced in designing NLP systems, RAG pipelines, computer vision workflows, real-time Al applications, recommendation engines, and cloud-hosted software platforms. Strong background in API development, Al integration, system automation, and end-to-end product delivery.
LJ Institute of Engineering and Technology
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
MobileFirst Applications
Software Engineer
September 1, 2025 – Present
India
MobileFirst Applications
Python Intern
March 1, 2025 – September 1, 2025
India
Tipsta - AI-Powered Social Recommendation Platform
January 1, 2023 – June 30, 2026
Designed and developed a FastAPI-based NLP recommendation engine that converts natural language queries into structured database searches across multiple relational entities. Built AI-powered content generation services for restaurants, movies, and recommendations using LLM-based workflows. Delivered enhancements, bug fixes, and feature implementations across 70+ production APIs within a large-scale Django ecosystem. Built a targeted notification delivery system supporting user-level, region-based, group-based, and inactivity-driven engagement campaigns. Developed an automated API health monitoring framework that validates critical backend endpoints through scheduled execution and operational reporting. Independently developed the public-facing Next.js recommendation-sharing platform with SEO optimization and dynamic content routing.
AI-Powered Skin Disease Detection & Treatment Recommendation System
January 1, 2023 – June 30, 2026
Architected and developed an end-to-end AI-powered dermatology platform capable of identifying 50+ skin diseases, sub-types, severity levels, and grading classifications from patient-uploaded images. Integrated OpenAI Vision models to automate disease detection and classification from multi-image submissions. Designed a FAISS-powered retrieval pipeline that matches diagnosis attributes with historical medical cases to generate personalized treatment recommendations. Built an AI-assisted treatment and medication planning system supporting economy, mid-range, and premium budget options. Developed a doctor-facing dashboard for medical data collection, annotation, and continuous RAG knowledge-base expansion. Deployed and maintained the complete platform on Windows Server infrastructure.
HireU - Real-Time AI Interview & Recruitment Platform
January 1, 2023 – June 30, 2026
Built a real-time AI-driven recruitment platform that conducts voice-first interviews and generates automated candidate evaluations. Developed a WebSocket-based pipeline supporting real-time audio streaming, interview transcription, and AI-powered candidate evaluation using Deepgram. Integrated Gemini-powered interview generation and candidate assessment workflows from job descriptions. Implemented automated scoring based on technical competency, communication, confidence, relevance, and response quality. Developed recruiter dashboards for interview management, transcript analysis, and hiring recommendations. Built browser-based interview proctoring features to monitor candidate behavior and flag potential assessment violations.
Smart Security Product Consultation & E-Commerce Platform
January 1, 2023 – June 30, 2026
Designed and developed a full-stack business platform for a security solutions company using React, TypeScript, Supabase, and PostgreSQL. Built an AI-powered consultation assistant using Grok AI to provide product guidance, hardware recommendations, and customer support. Implemented automated lead-processing workflows integrating SMS and WhatsApp notifications using Twilio. Developed dynamic product discovery experiences including advanced filtering, search, and catalog management. Integrated OAuth-based authentication and user management using Supabase Auth and social login providers. Implemented SEO optimization using structured metadata, schema markup, and search-engine-friendly content architecture.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of applications (healthcare, e-commerce, social recommendations, recruitment) and a strong interest in AI/ML, which aligns well with innovative and tech-driven environments. The breadth of skills across full-stack development, AI, and cloud tools suggests adaptability and a continuous learning mindset. The personal projects indicate a proactive and self-driven individual, which is a positive cultural fit for dynamic teams. However, the candidate's experience level is relatively low, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving skills, an ability to work independently (e.g., 'Independently developed the public-facing Next.js recommendation-sharing platform'), and experience collaborating with cross-functional teams. The focus on end-to-end product delivery suggests a results-oriented approach. However, without specific behavioral assessment data, a deeper analysis of stress handling, team collaboration, and work attitude is not possible.