Prakhar Agarwal

Currently developing high-performance trading analytics dashboards and resilient data pipelines for high-frequency market data, ensuring business continuity and enhancing platform usability.

• Built internal trading analytics dashboards for high-frequency market data, enabling traders to visualize and interpret live and historical trade patterns with millisecond-level latency, reducing analysis time by 40%.
• Developed a real-time backup trading interface using Lightstreamer, Next.js, MobX, and Node.js, ensuring business continuity by allowing order monitoring and cancellations during platform outages by almost 85%.
• Contributed to the architecture of a proprietary charting platform, leading TypeScript optimizations and participating in product-level decisions to enhance usability and performance with AmCharts.
• Led GitOps implementation using ArgoCD and Rancher, introducing an App of Apps pattern to streamline CI/CD across environments and improve deployment reliability for all internal tools.
• Engineered resilient data pipelines with Kafka and TimescaleDB to ingest, store, and query high-frequency trading data at scale, supporting multiple real-time use cases across internal platforms processing around 50k+ messages/sec TAS (time and sales) data.

Developed and optimized robust REST APIs and data ingestion processes, significantly improving efficiency and success rates for backend operations.

• Built REST APIs for automated DB migrations, cutting manual effort by 90% and enhancing system scalability.
• Optimized data scripts, reducing execution time from 12+ minutes to under 3.5 minutes, significantly boosting processing speed.
• Structured large-scale JSON data for efficient ingestion with a 95%+ success rate, ensuring data integrity and reliability.

Optimized caching mechanisms and enhanced system reliability for the OneCoupons team, resulting in significant performance improvements and high availability.

• Optimized Redis-based caching for the OneCoupons team using AWS ElastiCache, cutting latency by 65%.
• Boosted throughput by 60% through cache TTL tuning and key redesign, improving system responsiveness.
• Improved reliability with persistence and multi-AZ replication, achieving 99.99% uptime for critical services.

Administered and maintained the official website for MNNIT's Student Activity Cell, ensuring smooth operation and accessibility for student initiatives.

• Managed the web infrastructure and digital presence for the Student Activity Cell, supporting various student programs and events.
• Ensured high availability and performance of the website, facilitating effective communication and resource sharing among students.

Coordinated logistical and operational aspects for TEDxMNNIT events, contributing to successful execution.

• Orchestrated key event logistics and managed operational workflows for TEDxMNNIT, ensuring seamless execution of the event.
• Collaborated with diverse teams to manage resources and schedules, contributing to a high-quality attendee experience.

Developed an AI-driven platform for mental wellness, leveraging physiological data and machine learning to provide personalized interventions.

Achieved Specialist rank on Codeforces (max: 1558), 5 star on Codechef (max: 2013), and Elite on Hackerearth (max: 1897), demonstrating advanced problem-solving skills.

Solved over 1000+ coding problems across various platforms (Leetcode, Codeforces, Codechef, Hackerearth), showcasing extensive algorithmic and data structure proficiency.

Certified in Problem Solving (Intermediate) and Software Engineer role assessments on Hackerrank, validating core engineering competencies.

Ranked #497 nationally in Google Hash Code 2022 and #1055 globally in Google Kickstart Round B 2022, highlighting strong competitive programming and optimization abilities.

Achieved a top 10 team position in Hack36 5.0 2022, an annual 36-hour hackathon event at MNNIT, demonstrating strong teamwork and rapid prototyping skills.