AI Research Engineer with less than a year in LLM orchestration & GenAI systems.
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Highly motivated B.Tech student pursuing Electronics & Communication Engineering with 6 months of hands-on experience in AI research and telecommunications. Specializing in designing multi-step LLM orchestration pipelines, developing neuromorphic forecasting models, and engineering end-to-end GenAI content engines. Proficient in Python, AI/ML frameworks like PyTorch and Transformers, and full-stack development. Eager to contribute to innovative AI and data-driven projects.
Jaypee Institute of Information Technology
B.Tech · Electronics & Communication Engineering
August 1, 2022 – June 30, 2026
Saint Paul's Sr. Sec. School
Class XII
June 1, 2010 – May 31, 2022
Coding Jr (Planto.ai)
AI Research Intern
April 1, 2025 – July 1, 2025
India
One Answer Engine AI Recommendation System
June 24, 2026 – Present
Engineered a hybrid deterministic-LLM architecture where a structured scoring engine drives every recommendation while the LLM synthesizes natural-language explanations - eliminating hallucinated outputs and ensuring 100% decision auditability. Delivered bilingual (English + Arabic) support with a React frontend and FastAPI backend as a live take-home assessment for a production e-commerce client; deployed to Render within 48 hours of brief.
View ProjectNeuroSpike: Solar Irradiance Forecasting
June 24, 2026 – Present
Architected a BiLSTM + Spiking Neural Network (SNN) neuromorphic forecasting pipeline trained on NASA POWER hourly data across 10 global cities, achieving RMSE 29.67 W/m² and R2 0.9877 a 35% RMSE reduction over the vanilla BiLSTM baseline. Proactively identified and eliminated a critical data leakage vulnerability (clearness_index derived from target GHI), triggering a full retrain-and-revalidate cycle to guarantee benchmark integrity prioritizing correctness over inflated metrics. Shipped a full-stack production system (FastAPI + Streamlit) featuring a real-time Insight Lab panel, solar savings calculator, and interactive city map; deployed end-to-end on Render.
View ProjectSocial Media Studio GenAI Content Engine
June 24, 2026 – Present
Automated end-to-end multi-slide Instagram content generation from a single raw prompt by engineering chained LLM pipelines with schema validation and graceful fallback logic, guaranteeing structured, parseable output at runtime. Synthesized a real-time preview and one-click export system using pure frontend tooling; sustained zero backend downtime in production on Render since launch.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI recommendation systems to solar irradiance forecasting and generative AI content engines, demonstrates a broad interest and adaptability, which aligns well with a dynamic research environment. The proactive identification of data leakage and emphasis on auditability in the 'One Answer Engine' project indicates a strong ethical and quality-driven mindset. Participation in competitive debating and college football suggests teamwork, resilience, and strong communication skills, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a proactive approach to problem-solving (e.g., identifying data leakage), a commitment to correctness over inflated metrics, and the ability to deliver production-ready systems under time constraints (48-hour deployment). The internship experience also shows an ability to institute structured evaluation frameworks and optimize performance, indicating a strong operational fit for roles requiring rigorous development and deployment practices. Leadership experience in coordinating technical workshops suggests good organizational and communication skills.