Delhi Technological University
B.Tech in Computer Science and Engineering, 2024-2028.
CGPA 9.34Hi, I'm Jayant Tomar
Computer Science student building reliable systems.
I am Jayant Tomar, a Computer Science student at Delhi Technological University focused on software, algorithms, and performance. I enjoy solving problems with clean engineering and adaptable systems.
9.34
DTU CGPA
1000+
DSA Problems
1885
LeetCode Knight
About
Jayant Tomar
I am a Computer Science Engineering undergraduate at Delhi Technological University (DTU) with a strong interest in systems programming, backend engineering, and distributed systems. I enjoy building software that is not only functional but also efficient, scalable, and reliable. My curiosity about how complex systems work has led me to explore topics ranging from search engines and databases to networking and concurrent programming.
Beyond academics, I am passionate about problem solving and continuous learning. Whether it's developing high-performance C++ projects, competing in programming contests, or exploring new technologies, I enjoy challenging myself and pushing my technical boundaries. I'm always looking for opportunities to learn, collaborate, and build impactful software.
Algorithmic consistency
Knight on LeetCode, Pupil on Codeforces, 3-Star on CodeChef.
1000+ problems across platformsMeasured performance
Built search and storage projects with benchmarks, concurrency, and real demos.
93K+ GET ops/secEducation
Academic background
B.Tech in Computer Science and Engineering
Delhi Technological University, New Delhi
2024 - 2028 CGPA: 9.34Class 12th - CBSE Board
Sidhhartha Public School, Delhi
2024 Grade: 95%Class 10th - CBSE Board
Vikalp Public School, Rohtak, Haryana
2022 Grade: 97.2%Projects
Featured projects
C++ · BM25 · Vector Search · Trie · Multithreading
Fast Hybrid Search Engine
A multithreaded C++ hybrid search engine combining BM25-based inverted-index retrieval with Ollama-generated vector embeddings for semantic retrieval.
- Built a multithreaded C++ hybrid search engine combining BM25-based inverted-index retrieval with Ollama-generated vector embeddings, and integrated the retrieval pipeline with a FastAPI RAG gateway using LangChain.
- Implemented Trie-based autocomplete, Levenshtein-distance spell correction, thread-safe LRU query caching, cosine-similarity semantic caching, and Top-K heap-based result selection to optimize query processing.
- Developed a C++ HTTP backend exposing REST APIs for search, snippets, autocomplete, and benchmarking, with PDF document ingestion and CORS support.
- Engineered an incremental indexing pipeline with POSIX mmap-backed persistence and startup garbage collection, eliminating full index rebuilds on restart; containerized services using Docker and Docker Compose.
- Parallelized indexing using thread-local inverted indexes with post-merge aggregation, achieving a 2.14× speedup with 8 threads on a 1,004-document corpus; benchmarked the search endpoint at 0.76 ms average latency and 1,319 QPS.
C++ · TCP · Persistence
High-Performance In-Memory Key-Value Store
A Redis-inspired key-value store with thread-safe operations, WAL plus snapshot persistence, TTL expiration, master-slave replication, telemetry, and graceful shutdown.
- Enabled thread-safe concurrent operations through mutex synchronization and tested 500 simultaneous TCP clients at 0.305 ms mean latency with sub-0.9 ms p99 latency.
- Designed hybrid persistence using a write-ahead log and periodic full-state snapshots, enabling crash recovery through snapshot restoration followed by WAL replay.
- Replaced full-scan TTL expiration with heap-based O(log n) expiry management, sustaining 55K TTL-enabled SET operations/sec at 0.018 ms average latency.
- Established asynchronous primary-replica replication with snapshot-based initial synchronization followed by real-time write-command propagation to connected replicas.
- Measured the C++ TCP server at 93K+ GET ops/sec and 60K+ SET ops/sec over localhost; containerized with Docker and deployed on Render; added a WebSocket-to-TCP proxy bridge for real-time client telemetry.
Learning & Open Source
Educational resources and community contributions
C++ · Data Structures · Algorithms
Complete DSA: Learning Journey
A comprehensive collection of 1000+ DSA problems and implementations covering all major topics. Well-commented solutions with complexity analysis, interview patterns, and explanations.
- Topics: Arrays, Strings, Linked Lists, Stacks, Queues, Trees, Graphs, DP, Backtracking, Heaps, STL.
- Difficulty levels: Beginner to Advanced.
- Interview preparation with 1000+ problems solved across coding platforms.
Achievements
Achievements and recognitions
Competitive Programming Profiles
Knight on LeetCode, Pupil on Codeforces, and 3-Star on CodeChef.
1000+ DSA Problems
Solved 1000+ problems across coding platforms while maintaining strong problem-solving consistency.
Top 12 Finalist - Hack-LLM
Selected among the top finalists in a 24-hour hackathon at IIIT Delhi.
Goldman Sachs India Hackathon 2026-CS
Secured All India Rank 1127 in the national leaderboard.
HPAIR'26 Conference
Selected as a global delegate for the HPAIR conference at VinUniversity, Hanoi.
JEE Advanced & Mains 2024
AIR 10,987 in JEE Advanced and 99.27 percentile in JEE Mains.
100/100 in CBSE Board Exams
Scored 100/100 in Mathematics in both Class 10th and Class 12th CBSE Board exams.
21 KM Marathon Runner
Completed a 21 KM marathon, reflecting consistency, discipline, and endurance.
Certificates
Certificates and course completions
Stanford Algorithms Specialization
Completed the Stanford University Algorithms Specialization on Coursera.
Distributed Systems and Web Services
Completed the Coursera course on distributed systems and web services.
Machine Learning Specialization
Completed Andrew Ng's Machine Learning Specialization.
Intro to Machine Learning
Completed the Kaggle certification for introductory machine learning concepts and modeling.
Intermediate Machine Learning
Completed the Kaggle certification covering intermediate machine learning techniques and pipelines.
Dynamic Programming Camp
Completed the Dynamic Programming Camp course by AlgoUniversity.
Skills
Technical stack
Languages
C++, Python, C, SQL, JavaScript, HTML, CSS
Technologies & Frameworks
FastAPI, Node.js, MySQL, STL, Ollama, LangChain, Vector Embeddings
Core CS & Concepts
Operating Systems, OOP, DBMS, Computer Networks, Multithreading, Concurrency, Information Retrieval, REST APIs, TCP/IP, WebSockets, Vector Search
Tools & Platforms
Git, GitHub, Linux, Docker, Docker Compose, Makefile, Render, Vercel, VS Code
Contributions
Co-curriculars and contributions
UGV-DTU · New Delhi, India
Machine Learning and Perception Team Member
September 2024 – May 2025
- Worked as a Core Member in the ML & Perception Department of Team UGV, DTU, contributing to real-time object detection, localization, and autonomous navigation for Unmanned Ground Vehicles.
- Learned about ROS and ZED Camera applications in real-world autonomous systems.
AIMS-DTU
Team Member
October 2025 – January 2025
- Collaborated within a 100-member multidisciplinary team; actively participated in 2 Ideathons, 1 Hackathon, and 2 Kaggle Competitions focused on real-world ML.
- Gained foundational knowledge of Machine Learning through team sessions, Kaggle competitions, and Coursera courses.
Contact
Get in touch
Have a question or want to collaborate? Feel free to reach out.