Thejeshwaar Paasila
Fullstack EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fullstack Engineer with 1+ years in GenAI & Real-Time Systems
AI-focused Full-Stack Developer, GenAI Engineer, and Startup Founder with expertise in building scalable web and mobile applications, real-time communication systems, geospatial platforms, and intelligent automation products. Delivered 6+ production systems using React, React Native, TypeScript, Python, Supabase, PostgreSQL, WebRTC, and LLM technologies including OpenAI GPT-4 and Gemini AI. Proven track record in prompt engineering, NLP pipelines, real-time infrastructures, GIS systems, payment integrations, and full-stack architecture serving 1,000+ users.
Vignan Institute of Technology & Science
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Sky Rise AI Technologies
AI Engineering Intern
May 1, 2025 – Present
India
Review Scraper AI – NLP-Based Review Intelligence Platform
January 1, 2026 – Present
Shipped a production AI analytics suite harvesting 10,000+ app store reviews and executing sentiment classification pipelines at enterprise-grade throughput. Provisioned server-side infrastructure handling 50+ API routes with ORM-driven data persistence, lightweight WSGI routing, and multi-dialect database compatibility using Python 3.11. Applied lexicon-based polarity scoring via NLTK VADER across 1,000+ reviews and harnessed GPT-40 for thematic topic extraction and harnessed narrative reports. Rendered interactive data dashboards visualizing 8+ sentiment metrics with grid-based responsive layouts, 3D WebGL visualizations, and timeline-based animations.
Skill Map AI – AI Career Intelligence & Recommendation System
January 1, 2026 – Present
Spearheaded a psychometric career intelligence engine generating personalized growth roadmaps for 500+ users from aptitude profiling and personality trait analytics. Modeled RIASEC-based career scoring across 50+ career tracks with Big Five trait weighting, multi-factor ranking algorithms, and live occupational intelligence feeds. Visualized career insight metrics across 10+ chart types backed by secure authentication systems and role-based access control.
SmartStudy AI – AI-Powered Academic Productivity Platform
January 1, 2026 – Present
Conceptualized a GenAI-enabled academic platform serving 300+ students with autonomous content distillation, spaced-repetition card generation, and smart note synthesis. Structured full-stack monorepo architecture with type-safe data contracts reducing runtime errors by 35% and live state synchronization across 5+ client modules. Utilized Google Gemini 2.0 Flash processing 1,000+ study documents for contextual content summarization, on-demand quiz synthesis, and Feynman-style explanations. Enforced secure session handling for 500+ registered users with runtime schema validation and atomic state orchestration across declarative client-side routing.
Naksha Yojana – Enterprise GIS Intelligence Platform
January 1, 2026 – Present
Launched a high-performance GIS intelligence suite processing 50,000+ spatial records for spatial data visualization, territory analytics, and urban infrastructure planning. Assembled advanced cartographic pipelines rendering 10+ map layer types with vector overlay rendering and geometric computation libraries. Processed multi-format geospatial ingestion across 5+ file formats supporting vector feature parsing, geospatial data aggregation, and real-time layer rendering. Connected enterprise-grade spatial warehouses integrating 3 cloud data platforms with columnar analytics engines for petabyte-scale geographic query processing.
IRLYSM – AI-Powered Real-Time Social Networking App
January 1, 2026 – Present
Built a production-grade geosocial platform enabling proximity-based discovery across 15+ activity categories, instant peer messaging, and live interactions for 2,000+ daily sessions. Engineered horizontally scalable backend infrastructure supporting 10,000+ concurrent connections with geospatial database layers, serverless compute functions, and row-level access control. Integrated sub-second video calling with sub-200ms latency and live presence signaling using open-source conferencing SDKs and event-driven broadcast channels. Developed interactive map rendering engines across 3 map providers with tile-based cartography, spatial indexing algorithms, and real-world coordinate clustering. Assembled premium mobile interfaces with 60fps fluid gesture mechanics, physics-based animations, and depth-layered frosted-glass aesthetics for high-retention user experiences.
Business Intelligence & Analytics
NPTEL
June 1, 2026 – Present
Generative AI
Udemy
June 1, 2026 – Present
Ethical Hacking
Udemy
June 1, 2026 – Present
Full Stack Web Development
Udemy
June 1, 2026 – Present
Prompt Engineering
Udemy
June 1, 2026 – Present
Python Programming
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a dynamic, innovation-driven environment, particularly in AI-focused roles. Their diverse personal projects, ranging from AI analytics to social networking and GIS, showcase a broad interest and ability to apply technical skills across different domains. The emphasis on GenAI, real-time systems, and full-stack development aligns with cutting-edge industry trends, indicating a forward-thinking mindset. Participation in hackathons and recognition from Google for Startups further highlight an entrepreneurial spirit and a collaborative approach to problem-solving.
Soft Skills & Operational Fit
The candidate's project descriptions and professional summary indicate a proactive, results-oriented individual capable of spearheading complex technical initiatives. Their involvement in hackathons and startup shortlisting suggests a strong drive for innovation and problem-solving under pressure. The focus on AI-native solutions and real-time systems aligns well with modern operational demands for efficiency and intelligence.