Apple

• Built a macOS Swift application that replaced fragmented terminal-based 5G protocol testing workflows for 600+ engineers, drove 80% adoption, eliminated third-party tools, and saved $720K annually while improving developer productivity and onboarding.
• Implemented a dynamic pre-validation framework for LTE/NR message creation that automatically handled interdependent component checks, reducing debug time from 20 minutes to under 2 and improving incident Mean-Time-to-Resolution (MTTR) by 40% by proposing automated fixes based on previous fixes.
• Architected an LLM-powered triage automation pipeline using RAG (FAISS-based embeddings) with CI/CD (Jenkins) integrations, automating incident clustering and recommending fixes from historical logs, reducing engineering effort across 700+ incidents/month for 60+ engineers and scaling across 8 teams.
• Led end-to-end bring-up of a cellular testing lab in India using an iPhone and USRP X410/B210, automating setup and testing with Python to reduce setup time from 3 weeks to under 2 days and enable repeatable deployments.
• Led a greenfield initiative to build LTE Layer 2 (RLC, PDCP, MAC) from scratch using a multi-agent AI system, orchestrating 56 agents with 5 domain experts to generate and validate 100K+ lines of C/C++ code; designed a 3GPP-aware hybrid retrieval system (BM25 + dense + RRF fusion) to ground outputs in telecom specifications, using UE simulation and human-in-the-loop validation to reduce development cycles from ~3.5 years to ~6 months.
• Supervised and guided 2 interns in developing an AI-powered Workspace Optimizer leveraging RAG, contextual embeddings, and Qdrant Vector DB for one-click provisioning and iterative remediation, reducing manual effort by 73%.

PayPal

• Contributed to the enhancement of the Global Merchant Lending Admin Tool, optimizing audit efficiency by approximately 13% through the replacement of manual processes with React, Node.js, and internal PayPal frameworks, ensuring compliance with Current Expected Credit Loss (CECL) standards.

Apple

• Created an internal single-page application (SPA) using React.js, Tailwind CSS, Spring Boot, Aluminum, Splunk, and internal Apple frameworks, achieving an 83% reduction in support turnaround time by optimizing cross-domain access and reducing workflow complexity.
• Designed and deployed an ML pipeline (XGBoost + feature engineering) to predict SLA resolution times with 80%+ accuracy, leading to a 25% decrease in SLA breaches across IS&T and ticket incidents.

Tata 1mg

• Utilized Asyncio, Celery, and RabbitMQ to orchestrate asynchronous task scheduling, improving operational efficiency for 3,000+ employees in mail scheduling and projecting scalability benefits for over 4 million customers.

Cisco

• Conducted SDWAN network data analysis and developed an internal dashboard to visualize Quality of Service (QoS) metrics, achieving a 23.2% improvement in efficiency through the use of Data Science, Python, and networking tools.

Licious

• Migrated major application modules from Swift to Flutter, refactoring 5,000+ lines of code, which resulted in a 30% reduction in man-hours and improved application stability.

YASH Technologies

• Collaborated on the development of an Employee Management System portal using Spring Boot, integrating a database to track attendance for 6,000+ employees, leading to significant cost savings and enhanced HR efficiency.

• Developed CustomNerd/NerdEngine, a configurable framework for domain-specific AI assistants using curated retrieval, prompt engineering, relevance filtering, citation generation, and saved-state deployment.
• Built and maintained specialized assistants including DietNerd, WirelessNerd, InvestorNerd, CloudNerd, NewsNerd, and SpaceNerd across PubMed, 3GPP, finance, cloud, news, and astronomy domains.
• Added multi-source retrieval and resilient fallback logic for CloudNerd Advanced using Stack Overflow, AWS blogs, Azure blogs, CloudFest feeds, and rate-limit-aware API handling.
• Deployed on AWS EC2/S3 with Cloudflare and AWS Load Balancer, incorporating OTP-based authentication via DynamoDB and AWS SES.

• Built an agentic, explainable job-candidate matching system with candidate, employer, and matchmaking agents for transparent recruitment recommendations.
• Implemented resume/job parsing, semantic retrieval, skill overlap, composite scoring, ranked match generation, score breakdowns, and explanation panels using FastAPI, SentenceTransformers, Chroma/Qdrant, and React.

Early-stage work on certificate revocation and trust validation for `ndnd`, the Go implementation of Named Data Networking.

• Built a local Apache DataFusion benchmark harness across Parquet datasets of varying row scale, bytes, operator mix, compression, and row-group configurations.
• Trained a ridge-regression cost model to predict Parquet scan runtime from extracted planner-side features, then surfaced error-bounded estimates for the Odyssey planner.
• Packaged the work as a reproducible deliverable: regression scripts, dashboards, and a keynote brief for the supervisor meeting.

B.E., Computer Science | GPA: 9.71

• Awarded the TIET Merit Scholarship for ranking in the top 0.5% all four years of academic studies.
• Ranked 89th out of 100,000 students in the IICC by AICTE coding competition.
• Featured in Apple's Innovation Deck for an idea on Apple Pay, selected out of 350+ submissions.
• Proficient in subjects such as Data Science, Object-Oriented Programming, Operating Systems, Computer Networks, Computer Architecture, and Database Management Systems.
• Recognized as one of the top coders in my institute.
• Actively participated in hackathons and coding competitions.
• Engaged in extracurricular activities, including cricket tournaments, quiz competitions, and debate competitions.
• Served as a Class Representative and Placement Coordinator for my college.
• Vice Lead Ambassador at Thapar Institute Counselling Cell, dedicated to improving mental health hygiene on campus.

Mount Assisi School

Class XII (ISC) | GPA: 96.25%

• Achieved the top position in the Science stream at school.
• Developed a strong understanding of various subjects, including Physics, Chemistry, Mathematics, Literature, and Computer Science.
• Represented the school in FICE seminars and regional debate competitions, displaying excellent communication and critical thinking skills.
• Recognized as the ISC 2019 School Topper, demonstrating exceptional academic achievements and dedication to excellence.
• Showcased strong leadership skills as a School People Leader, effectively guiding and inspiring fellow students.
• Selected as a representative of the school at numerous seminars and FICE events, highlighting excellent communication and presentation abilities.
• Successfully coordinated and managed annual functions and extracurricular events, displaying effective multitasking skills.

Mount Assisi School

Class X (ICSE) | GPA: 94.33%

• Consistently ranked among the top performers throughout my 12 years of schooling, demonstrating exceptional academic achievements.
• Actively engaged in various competitions, such as quizzes, declamations, dances, and debates, where I showcased my exceptional skills and consistently delivered impressive performances.
• Demonstrated my athletic abilities by participating in track and field events and cricket tournaments, achieving notable successes and contributing to the team's accomplishments.
• Proudly represented my school at prestigious national-level Olympiads and the National Talent Association, showcasing my intellectual capabilities and competing at the highest levels of academic excellence.