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AI Engineer with less than a year in AI/ML & Full-stack Development
Highly motivated and results-driven individual pursuing a B.Tech in Mathematics and Computing with a strong focus on Financial Engineering. With practical experience as an AI/ML Intern and Business Analyst, I have developed a robust skill set in AI-powered backend development, data analysis, and machine learning. My expertise includes building fintech backends, developing LLM-based chatbots, and leveraging data for process improvement, complemented by a strong foundation in Python, SQL, React.js, and various AI/ML frameworks. I am eager to apply my technical and analytical capabilities to innovative engineering challenges.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech. · Mathematics and Computing with Elective in Financial Engineering
August 1, 2023 – June 30, 2027
Sanfort World School
Senior Secondary · CBSE Board
June 1, 2022 – May 31, 2022
Coding House
AI/ML Intern
May 1, 2026 – June 1, 2026
India
ScholarsBoost
Business Analyst
January 1, 2025 – July 1, 2025
India
Carbon-Aware Digital Twin Microgrid Optimization System
June 1, 2026 – Present
-Engineered a carbon-first microgrid optimization system leveraging IoT sensing, MQTT streaming, and Digital Twin modeling to intelligently shift loads between renewable and grid sources. -Implemented a hybrid ML pipeline using LSTM (time-series forecasting), XGBoost (carbon intensity prediction), and quantile regression for risk-aware control, enabling real-time decision automation. -Deployed an end-to-end system with ESP32 hardware control, FastAPI backend, and Streamlit dashboard, demonstrating AI-driven energy optimization and measurable carbon footprint reduction.
View ProjectProject Saaransh: AI Powered E-Consultation Analysis Platform
June 1, 2026 – Present
-Developed an enterprise-grade AI framework for the Ministry of Corporate Affairs (MCA) to automate sentiment analysis of legal submission consultations using DistilBert, IndicBert, and Legal-BERT. -Designed quality metric confidence scoring system using Naive Bayes and Gaussian distribution and redistribution for neutral categories, converting 0-1 probabilities to interpretable 1-5 confidence ratings. -Developed section/clause-wise AI summarization with multi-language translation (LibreTranslate API) and text-to-speech audio generation supporting Hindi TTS, implementing fallback mechanisms. -Created admin dashboard and user panel with React.js, featuring real-time analytics, stakeholder ecosystem mapping, cross-consultation trend analysis predicting regulatory hotspots, exploratory data analysis, Performed data cleaning and interactive stance visualizations using Chart.js.
View ProjectAuraCast: Climatological Weather Risk Assessment Platform
June 1, 2026 – Present
-Climatological probability engine analyzing 30+ years of NASA MERRA-2 data and with real-time API integration to predict adverse weather conditions for long-term planning using Random Forest classifier. -Implemented activity-specific risk weighting algorithms applying to different outdoor planning, reducing event cancellation by enabling data-driven planning 6+ months ahead. Developed ci/cd pipeline. -Architected full-stack solution with Fast API and React TypeScript frontend with serverless deployment.
View ProjectIntegrating Quantitative Finance with Traditional Equity Research
June 1, 2026 – Present
-Integrating statistical risk assessment, and quantitative analysis methods using BSE Ltd. as case study with real market data achieving 88% confidence interval predictions for stock price movement. -Implemented Monte Carlo simulation using Geometric Brownian Motion with market parameters (mue=0.12, sigma=0.45) resulting in mean price projection of 2,686.52 -Applied Black-Scholes option pricing model and analyzed derivatives market with implied volatility analysis (45-47%) and option chain open interest patterns.
Predicting Indian IPO Subscription Rates via Vernacular Social Media Signals & Deep Learning
International Journal of Forecasting
June 1, 2026 – Present
AQE-FinLLM: Adaptive Quantile Ensemble with FinLLM Sentiment for Tail-Risk Estimation
IEEE Computational Intelligence in Financial Engineering and Economics (CIFEr) 2026
June 1, 2026 – Present
Whose Voice Counts? Bridging the Digital Consultation Gap with NLP & Synthetic Citizen Population
ICSC 2026, Springer CCIS (Oxford University)
June 1, 2026 – Present
DIRA: A Deep Indel Refinement Framework for Genomic Variant Calling
17th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI-powered e-consultation platforms to carbon-aware microgrid optimization and quantitative finance, demonstrates a broad interest in applying AI to various real-world problems. Their involvement in multiple hackathons and leadership positions (Student Relations Executive, Operations Team Executive) suggests a proactive, innovative, and collaborative spirit. The blend of technical depth and business acumen aligns well with a dynamic, results-oriented culture often found in AI engineering teams.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with teammates, cross-functional teams, and stakeholder engagement, suggesting good teamwork and communication skills. Experience in business analytics and product strategy indicates an understanding of business impact and data-driven decision-making. The remote work experience also points to self-discipline and adaptability.