Keshav Saraf

Software Engineer

Noida, Uttar Pradesh, India1 yr 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI-driven tools reducing audit time significantly.
Built scalable systems handling millions of requests daily.
Expert in backend development and cloud technologies.

Stackforce AI infers this person is a Backend Developer with expertise in AI and cloud technologies for high-traffic applications.

Contact

Skills

Core Skills

JavaSpringbootPythonArtificial Intelligence (ai)Problem SolvingGoogle Cloud Platform (gcp)Go (programming Language)Qiskit

Other Skills

SupervisorElasticsearchLangChainVertex AIGoogle GeminiCPPAnsibleGCPMongoDBRedisNATSConsulUbuntuGoData Structures

About

👋 Hi, I'm Keshav Saraf – a tech enthusiast and software developer passionate about solving complex problems and building scalable, reliable systems. With expertise in Java, Go, C++, and Python, I focus on backend development, DevOps, and AI-driven solutions. I thrive on challenges, embrace continuous learning, and love turning ideas into impactful, production-ready software.

Experience

1 yr 4 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 4 mos

Current Experience

Indiamart intermesh limited

2 roles

Engineer

Jan 2026 – Present · 4 mos · Noida, Uttar Pradesh, India · Hybrid

Associate Engineer

Jan 2025 – Jan 2026 · 1 yr · Noida, Uttar Pradesh, India · Hybrid

Built a configurable log parsing and Elasticsearch indexing pipeline using Python, Supervisor, Cron, and offset-based scheduling. Enabled addition of new fields within seconds for instant availability in Kibana, reducing client issue resolution time from weeks to hours and enabling real-time impact analysis.
Fixed two critical Java bugs, reducing 5XX errors by approximately 1000 per week, improving the success rate of searches.
Integrated a price filter feature into a high-traffic search platform handling over 3 million requests/day using Java Spring Boot, supporting faceted filtering and dynamic queries. Increased CTR and user engagement, filtered products with abnormal pricing, and identified miscategorized items through outlier detection.
Refactored and adapted existing Python scripts for new reporting requirements with version control via a shared Git repository. Optimized one script to reduce RAM usage from 20GB to 200MB (99% reduction).
Developed an AI-driven product relevance auditing tool using Python, LangChain, Vertex AI, and Google Gemini models, cutting audit time from hours to minutes with over 85% accuracy and significantly reducing resource costs.
Built a prototype AI HR agent capable of conversing in Hindi and English to conduct initial candidate screening and log responses into a CSV file for streamlined review.

JavaSpringboot

Outlier

Code Reviewer

Dec 2024 – Present · 1 yr 5 mos · India · Remote

Follow the project's instructions carefully and thoroughly review each task to enhance the AI model's responses. Pay close attention to every detail, ensuring a meticulous focus on every letter and nuance. This requires an in-depth understanding of programming concepts to fine-tune the model effectively and deliver high-quality, accurate outcomes.

CPPProblem Solving

Gameberry labs

Sde Intern

Jul 2024 – Dec 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Solely built a complete staging environment for Parchisi STAR Online, a game serving millions of users, provisioning and configuring 15+ GCP VMs in just 25 days. Deployed latest MongoDB, Redis, NATS, Consul, and Ubuntu, set up networking, firewall rules, IP assignments, monitoring, alerting, and performed end-to-end testing. Passed the first round of QA validation with no errors, ready to replace the original staging environment.
Designed and implemented a Go-based utility for multiple games to retrieve geographic information (city and country) from IP addresses. Automated database updates with a cron job and ensured reliability using unit tests with mocks.
Collaborated on production infrastructure setup, leveraging Ansible to automate deployments and reduce deployment time by 80%. Independently designed and configured multiple development and staging environments for seamless workflows.
Developed Grafana dashboards with Prometheus for real-time monitoring of system metrics. Set up alerts with Slack notifications to ensure quick responses and stability for 2 million daily users.

AnsibleGoogle Cloud Platform (GCP)

Department of cse, iiitdm kancheepuram

Teaching Assistant

Mar 2024 – May 2024 · 2 mos · Kanchipuram, Tamil Nadu, India · On-site

Conducted tutoring sessions to help students understand complex concepts and improve academic performance.
Guided students in debugging and troubleshooting code, clarifying programming concepts and fostering problem-solving skills to enhance coding proficiency.
Evaluated and graded assignments and exams, providing constructive feedback to over 100 students while ensuring consistency and fairness.

Problem SolvingData Structures

Idealab (india) private limited

Quantum Computing intern

Jun 2023 – Nov 2023 · 5 mos · Chennai, Tamil Nadu, India · On-site

Analyzed and studied the operational mechanics of quantum computers using Python.
Designed and implemented quantum circuits using the Qiskit library and graphical user interface (GUI).
Developed a module to automatically generate quantum circuits by leveraging algorithmic principles.

Qiskit