Mohit Khare — Software Engineer

Results-driven Software Engineer with a passion for building high-performance, scalable systems. Proven ability to solve complex problems and drive significant improvements in cost, performance, and scalability. Expertise in AI/ML, Python, Spark, Kubernetes, Terraform, and Cloud Computing. At Demandbase, I've spearheaded high-impact projects focused on AI, scalability, and cost optimization. I re-architected a core AI-ML data pipeline using Spark and GPUs, cutting its runtime from 56 hours to just 3 hours (a 94% reduction) and slashing costs by 75%. I took full ownership of a complex legacy data platform, stabilizing the system and reducing its data refresh time by 70% (from 10 days to 3). My work on cloud optimization has included migrating a data service from Spark to Kubernetes (achieving an 8x processing increase and 80% cost reduction), implementing open-source Pelias for geotagging (a 95% cost cut), and driving initiatives that saved $8,000/month in S3 spend. I've also been on the forefront of AI innovation, designing new agent-based systems and winning internal AI competitions. Previously at Fynd, I led initiatives that significantly improved system performance. I optimized API response times by 80%, streamlined an implementation to reduce Redis keys from billions to thousands, and enhanced the search system's processing capabilities by 1000%. Passionate about clean code, system design, AI/ML systems, and cloud computing. Proven ability to learn and adapt quickly to new technologies. Eager to contribute to challenging projects that make a difference. Recommended Key Skills Python Scala Apache Spark Kubernetes Docker Terraform Amazon Web Services (AWS) AI/ML System Design Microservices OpenSearch SQL NoSQL (MongoDB, Redis) Problem-Solving Leadership

Stackforce AI infers this person is a SaaS-focused Software Engineer with strong expertise in AI/ML and cloud optimization.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 11 mos

Skills

Ai/ml
Spark
Data Management
Kubernetes
Aws
Cost Optimization
System Performance

Career Highlights

Reduced AI pipeline runtime by 94%
Achieved 80% cost reduction in cloud migration
Optimized API response times by 80%

Work Experience

Demandbase

Software Engineer 2 (10 mos)

Software Engineer (2 yrs 2 mos)

Fynd (Shopsense Retail Technologies Ltd.)

Senior Software Engineer (10 mos)

Software Engineer (1 yr 1 mo)

Odessa

Senior Software Engineer (5 mos)

Software Engineer (1 yr 11 mos)

Internship Trainee (5 mos)

Education

Bachelor’s Degree at SRM IST Chennai

High School at St. Michael's Convent School

Mohit Khare

Software Engineer

Bengaluru, Karnataka, India6 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Reduced AI pipeline runtime by 94%
Achieved 80% cost reduction in cloud migration
Optimized API response times by 80%

Stackforce AI infers this person is a SaaS-focused Software Engineer with strong expertise in AI/ML and cloud optimization.

Contact

mkhare@demandbase.com +918756910120 LinkedIn

Skills

Core Skills

Ai/mlSparkData ManagementKubernetesAwsCost OptimizationSystem Performance

Other Skills

AIAPI DesignAPI OptimizationAPI SupportAmazon Web Services (AWS)AutomationBug FixingData PipelineDockerGPUGeotaggingLeadershipMicroservicesNoSQL (MongoDB, Redis)OpenSearch

About

Experience

Demandbase

2 roles

Software Engineer 2

May 2025 – Present · 10 mos · Remote

Key Achievement ->
> Led the complete overhaul of the AI-driven NER pipeline (spaCy on Spark + GPU), reducing runtime from 56 hours to 3 hours and cutting costs by 75%.
> Owned and stabilised the complex, ambiguous Unified Technographics project , reducing data upgrade time by 90% (from 4 days to 30 mins).
> Drove $8K/month in S3 cost savings through proactive data upkeep and optimisation.
> Winner, "The Velocity Hacker" prize (₹75,000) at the September 2025 AI: Show & Tell for the "Keystone AI" project.
> Led the legacy technographics catalog migration, enhancing data integrity and scalability.
> Fixed critical security vulnerabilities and upgraded EMR infrastructure as part of a company-wide shift-left strategy

AI/MLSparkGPUData PipelineCost Optimization

Software Engineer

Aug 2023 – Oct 2025 · 2 yrs 2 mos · Remote

Key Achievements:
> Kubernetes Migration: Migrated the Render Crawler from AWS Lambda to Kubernetes, leading to an 8x increase in domain processing, handling 33 million domains in 5 days, and a 80% cost reduction (from $10,000 to $2,000).
> Cost-Effective Geotagging: Geotagged 2.5 million locations using Pelias instead of Google APIs, achieving a 95% cost reduction (from $10,000 to $500).
> Improved Catalog Generation: Integrated a local database into the catalog generation process, enhancing system reliability and reducing reliance on file-based processes. This increased operational speed and consistency.
> Automation and Cost Optimisation: Standardised Kubernetes compute implementations across teams, optimising costs and reducing manual intervention by automating key processes, improving overall system reliability.
> Technical Leadership and Mentorship: Conducted internal training on Kubernetes and mentored teammates on catalog update validation, contributing to cross-team knowledge sharing and improving technical capabilities within the team.
> AI Hackathon Winner: Won a company award for "Most Impressive Technical Implementation" in an AI Hackathon. Developed an AI-Powered Outreach Assistant (DBX) that utilises machine learning to enhance the sales outreach process by identifying high-potential leads and automating personalised outreach.

KubernetesAWSCost OptimizationGeotaggingAI

Fynd (shopsense retail technologies ltd.)

2 roles

Senior Software Engineer

Oct 2022 – Aug 2023 · 10 mos

Key Achievement
> Accelerated API performance by optimizing code, reducing response time by 80%
> Streamlined implementation by refactoring, dramatically decreasing redis keys from billions to thousands

API OptimizationRedisSystem Performance

Software Engineer

Sep 2021 – Oct 2022 · 1 yr 1 mo

Key Achievements
> Elevated system performance by 200% through the implementation of a system-wide price cache
> Boosted the processing capabilities of the search system by 1000% through improvements
> Enhanced the search system by adding pincode support for 1.5 million products without compromising performance
> Aligned the taxation system with recent government changes to tax rules through a revamp, supporting around 20,000 different tax codes.
> Overcame memory limitations and enabled the system to handle 3 times larger files through resolution of memory issues
> Designed and optimised several APIs, including one capable of supporting up to 50 million daily updates, for faster response times

System PerformanceAPI DesignTaxation System

Odessa

3 roles

Senior Software Engineer

Apr 2021 – Sep 2021 · 5 mos

Responsibilities include bug fixing, regression testing, and deployment for software releases, providing technical support to all other teams with any kind of internal queries and code issues.
Key Achievements :
> Member of the Hyper care team which handles critical and immediate client defect and features.
> Responsible for OCR documents support for the application.

Bug FixingTechnical Support

Software Engineer

May 2019 – Apr 2021 · 1 yr 11 mos

Key Achievements :
> Facilitated API support for core software components like Comments and Documents.
> Handled multiple software vulnerabilities within documents and request components.
> Initiated and took sole responsibility for automating regression testing and software release process.
Regression Testing :
Took over the automated testing of the in-house regression suite required for each product release. Started with the initial process taking 5-6 days, optimizing it by 90%, which now completes in 6hrs. Also helped DevOps with company-wide adoption for the same.

API SupportAutomation

Internship Trainee

Dec 2018 – May 2019 · 5 mos

Internal training and assessment for eligibility. Aced all the tests and questioners. Went beyond during the keystone project and delivered a bug-free and feature-rich employee management module.
Key Achievements :
> Only intern to be select for the core framework team, which is responsible for inhouse development framework.